⚡ Today's 72% Flash Offer Ends in:
00h : 00m : 00s
Claim Now →
In-Office Mode — Bangalore
Dedicated office desk & workstation
VR Learning Lab access
WhiteandBox.com live office environment
In-person mentorship with senior developers
Professional office infrastructure
Office networking with industry professionals
Ask about In-Office spots

Full Stack Web Development Internship — 1 Month

You'll learn core Full Stack Web Development through structured modules and work on a real live client project alongside senior developers. By the end, you can build confidently and have contributed to something that a real client uses.

40+ live training hours
10 core modules
1–2 live client projects
Real Corporate Campus • Active Software Workplace

This is NOT a Classroom.
It is an Office Where 2,000+ Employees Are Working Daily.

Train directly on our live corporate floor where 2,000+ software engineers build real client software daily — zero theoretical classrooms.

👥
2,000+Software Engineers on Floor
🏢
Zero ClassroomsLive Development Floor
🥽
Limited VR SessionsBasic Orientation
LIVE FLOOR TOUR • White and Box Corporate Workplace (Bengaluru)
✓ Office Floor where 2,000+ Engineers Work Daily

🔊 Click video to watch with audio in fullscreen

🚀
Why this is your ultimate hiring advantage: Top tech employers don't hire students from theoretical coaching centers. You graduate with genuine corporate floor experience, production repo contributions, and VR system mastery that gives you the confidence of an experienced software engineer.
🥽 VR Learning Technology • Limited Sessions
⚠️ Limited VR Sessions

Learning Reimagined with VR • Limited VR Sessions

Includes Limited VR Sessions for basic 3D orientation. (100+ sessions & unlimited 2-year revisions available in Career-Ready Flagship).

VR LEARNING PREVIEW • Immersive Technology
⚠️ Limited VR Sessions

🔊 Click video to watch VR preview with audio in fullscreen

⚠️ Limited VR Sessions 🏛️ 3D Codebase Basics 🔒 100+ Sessions • Career-Ready

Core Full Stack Web Development modules

Topics covered

Introduction to full-stack development and client-server architecture
HTML5, semantic elements, forms, and tables
CSS3, Flexbox, Grid, and responsive web design
JavaScript fundamentals, functions, arrays, and objects
Modern JavaScript: ES6+, modules, promises, and async/await
HTTP/HTTPS, JSON, request-response lifecycle, and status codes
Introduction to Git and development tools

What you'll build

  • Build a responsive business website with a registration form, navigation bar, data table, and JavaScript-based form validation.
By the end: Interns should understand web fundamentals and build responsive, interactive web pages.

Topics covered

React project setup using Vite
JSX, functional components, props, and state
React hooks: useState and useEffect
Event handling and conditional rendering
Lists, reusable components, and component composition
React Router and multi-page applications
Forms, validation, and error messages
Responsive UI development using Tailwind CSS or Material UI
Component organisation and frontend coding standards

What you'll build

  • Develop a business dashboard with login, employee listing, employee registration, editing forms, navigation, search, and filtering.
By the end: Interns should be able to build modular React applications with reusable components and functional navigation.

Topics covered

Node.js fundamentals and npm
Asynchronous programming and error handling
Express.js application setup
Routing, middleware, and request-response handling
Controllers, services, and backend folder structure
Request validation and centralised error handling
CRUD operations and backend business logic
Development versus production configuration

What you'll build

  • Develop a backend application with employee registration, employee retrieval, updating, and deletion endpoints.
By the end: Interns should be able to create structured backend services and implement business logic using Node.js and Express.js.

Topics covered

Relational database concepts and schema design
Tables, data types, primary keys, and foreign keys
Database relationships and normalisation
SQL commands: CREATE, INSERT, SELECT, UPDATE, and DELETE
WHERE, ORDER BY, GROUP BY, and HAVING
Joins, subqueries, and aggregate functions
Constraints, indexes, and transactions
Database connectivity from Node.js
Parameterised queries and SQL injection prevention
Introduction to ORM tools and database migrations

What you'll build

  • Design a database for an Employee Management System with employees, departments, and roles. Write queries and integrate the database with the backend.
By the end: Interns should be able to design relational databases, write SQL queries, and connect MySQL to backend applications.

Topics covered

REST API principles and resource-based endpoints
HTTP methods and status codes
GET, POST, PUT, PATCH, and DELETE operations
Request parameters, headers, and JSON payloads
API validation and consistent error responses
Connecting React to Express APIs using Fetch or Axios
Loading indicators and error handling
Search, filtering, sorting, and pagination
API documentation using Swagger/OpenAPI
Testing endpoints using Postman

What you'll build

  • Integrate the React frontend with the Node.js backend and MySQL database. Implement complete employee CRUD functionality with search and pagination.
By the end: Interns should be able to develop REST APIs and connect frontend interfaces to database-backed services.

Topics covered

Authentication versus authorisation
User registration, login, and logout
Secure password hashing
Session-based authentication or JWT fundamentals
Role-Based Access Control (RBAC)
Protected frontend routes
Backend authorisation middleware
Input validation and secure database queries
CORS configuration and security headers
Environment variables and secret management
Common web vulnerabilities and OWASP awareness

What you'll build

  • Implement login and role-based access for administrators, managers, and employees. Verify that restricted operations cannot be accessed without appropriate permissions.
By the end: Interns should understand how to protect application data and enforce permissions on the backend.

Topics covered

Software testing fundamentals
Unit, integration, and end-to-end testing
Testing React components
Testing backend APIs
Positive, negative, and boundary test cases
Debugging frontend and backend errors
Browser Developer Tools and server logs
Code reviews and refactoring
Error handling and regression testing
Coding standards and maintainable code

What you'll build

  • Write tests for employee CRUD APIs, invalid form inputs, unauthorised requests, and important application workflows. Debug and fix identified defects.
By the end: Interns should be able to test application functionality, investigate defects, and improve code quality.

Topics covered

Git fundamentals and repository management
Clone, add, commit, push, and pull operations
Branching and feature development
Pull requests and code reviews
Merge conflicts and conflict resolution
Commit-message conventions
Issue tracking and task assignment
Agile and Scrum fundamentals
Sprint planning and task estimation
Technical documentation and team communication

What you'll build

  • Create a shared project repository, assign features to team members, develop them in separate branches, review pull requests, and merge approved changes.
By the end: Interns should understand collaborative development workflows used by software teams.

Topics covered

Introduction to APIs and REST APIs
Understanding client-server communication
HTTP methods: GET, POST, PUT, and DELETE
HTTP status codes
Request and response formats
JSON data handling
API endpoints and routes
Connecting a React frontend to an Express backend
Fetching and displaying API data
Handling API errors and loading states
Introduction to API testing using Postman

What you'll build

  • Create basic REST API endpoints using Express.js, test them using Postman, and connect the APIs to a React frontend to retrieve and display data.
By the end: Interns should understand basic API concepts, create and test simple API endpoints, and connect frontend applications with backend services.

Apply the technologies and practices covered throughout the internship to develop a working business application.

Topics covered

By the end: Working full-stack application Source-code repository Database schema and ER diagram REST API documentation Test cases and test results Setup instructions and README Deployment instructions Final project demonstration Expected Outcome:** Interns should demonstrate their ability to build and explain a full-stack application, collaborate through version control, test functionality, and follow a structured software development workflow.

Live client projects

In the 1-month program you work on one live client project alongside your mentor. These are real projects built for actual client requirements — not practice exercises. You build on the same codebase your seniors are working on.

Live client project
APIVista — API Monitoring Dashboard

Real-time endpoint health checking, latency histogram tracking, error rate alerting, and uptime SLA reporting across environments.

React.jsNode.jsExpressPostgreSQLTailwind CSS
Live client project
WorkforceIQ — Employee Growth and Performance Intelligence

Skill matrix assessment, continuous appraisal workflows, goal tracking, and automated performance scorecards.

ReactNode.jsExpressMongoDBChart.js

Everything included in your 1-month enrollment

✓
40+ live training hours with senior developers
✓
Limited VR orientation sessions (introduction to 3D codebase visualizer)
✓
10 core Full Stack Web Development modules with practical exercises
✓
1 live client project on an active production codebase
✓
Internship completion certificate from WhiteandBox.com
✓
Remote, hybrid, or in-office at Bangalore

1-Month Full Stack Web Development Internship

Live sessions · Real project · Certificate and offer letter

₹5,000
₹2,500
50% off
1 month · live daily sessions
Register on WhatsApp
Want to go deeper into every topic?

The 2–6 month program covers the same 10 modules in significantly more depth — more exercises, more concepts, and 5 additional advanced modules that the 1-month doesn't reach.

Full Stack Web Development Internship — 2 to 6 Months

The same core Full Stack Web Development curriculum, covered in significantly more depth — more exercises, more edge cases, more patterns. Plus five additional modules that take you into advanced concepts, system architectures, and production delivery. With more time comes stronger ability, a deeper portfolio, and real exposure to how a professional team ships software.

120+ live training hours
15+ modules
2–3 live client projects
Everything in the 1-month program is included here. The same 10 core modules — but every one of them goes deeper: more exercises, more business scenarios, more edge cases. On top of that, you get five additional modules that the 1-month doesn't have time to cover.
Real Corporate Campus • Active Software Workplace

This is NOT a Classroom.
It is an Office Where 2,000+ Employees Are Working Daily.

Train directly on our live corporate floor where 2,000+ software engineers build real client software daily — zero theoretical classrooms.

👥
2,000+Software Engineers on Floor
🏢
Zero ClassroomsLive Development Floor
🥽
Limited VR SessionsBasic Orientation
LIVE FLOOR TOUR • White and Box Corporate Workplace (Bengaluru)
✓ Office Floor where 2,000+ Engineers Work Daily

🔊 Click video to watch with audio in fullscreen

🚀
Why this is your ultimate hiring advantage: Top tech employers don't hire students from theoretical coaching centers. You graduate with genuine corporate floor experience, production repo contributions, and VR system mastery that gives you the confidence of an experienced software engineer.
🥽 VR Learning Technology • Limited Sessions
⚠️ Limited VR Sessions

Learning Reimagined with VR • Limited VR Sessions

Includes Limited VR Sessions for project development lab. (100+ sessions & unlimited 2-year revisions available in Career-Ready Flagship).

VR LEARNING PREVIEW • Immersive Technology
⚠️ Limited VR Sessions

🔊 Click video to watch VR preview with audio in fullscreen

⚠️ Limited VR Sessions 🏛️ 3D Architectural Walkthroughs 🔒 100+ Sessions • Career-Ready

Foundation modules — all 10, covered in full depth

Topics covered

Introduction to full-stack development and client-server architecture
HTML5, semantic elements, forms, and tables
CSS3, Flexbox, Grid, and responsive web design
JavaScript fundamentals, functions, arrays, and objects
Modern JavaScript: ES6+, modules, promises, and async/await
HTTP/HTTPS, JSON, request-response lifecycle, and status codes
Introduction to Git and development tools

What you'll build

  • Build a responsive business website with a registration form, navigation bar, data table, and JavaScript-based form validation.
By the end: Interns should understand web fundamentals and build responsive, interactive web pages.

Topics covered

React project setup using Vite
JSX, functional components, props, and state
React hooks: useState and useEffect
Event handling and conditional rendering
Lists, reusable components, and component composition
React Router and multi-page applications
Forms, validation, and error messages
Responsive UI development using Tailwind CSS or Material UI
Component organisation and frontend coding standards

What you'll build

  • Develop a business dashboard with login, employee listing, employee registration, editing forms, navigation, search, and filtering.
By the end: Interns should be able to build modular React applications with reusable components and functional navigation.

Topics covered

Node.js fundamentals and npm
Asynchronous programming and error handling
Express.js application setup
Routing, middleware, and request-response handling
Controllers, services, and backend folder structure
Request validation and centralised error handling
CRUD operations and backend business logic
Development versus production configuration

What you'll build

  • Develop a backend application with employee registration, employee retrieval, updating, and deletion endpoints.
By the end: Interns should be able to create structured backend services and implement business logic using Node.js and Express.js.

Topics covered

Relational database concepts and schema design
Tables, data types, primary keys, and foreign keys
Database relationships and normalisation
SQL commands: CREATE, INSERT, SELECT, UPDATE, and DELETE
WHERE, ORDER BY, GROUP BY, and HAVING
Joins, subqueries, and aggregate functions
Constraints, indexes, and transactions
Database connectivity from Node.js
Parameterised queries and SQL injection prevention
Introduction to ORM tools and database migrations

What you'll build

  • Design a database for an Employee Management System with employees, departments, and roles. Write queries and integrate the database with the backend.
By the end: Interns should be able to design relational databases, write SQL queries, and connect MySQL to backend applications.

Topics covered

REST API principles and resource-based endpoints
HTTP methods and status codes
GET, POST, PUT, PATCH, and DELETE operations
Request parameters, headers, and JSON payloads
API validation and consistent error responses
Connecting React to Express APIs using Fetch or Axios
Loading indicators and error handling
Search, filtering, sorting, and pagination
API documentation using Swagger/OpenAPI
Testing endpoints using Postman

What you'll build

  • Integrate the React frontend with the Node.js backend and MySQL database. Implement complete employee CRUD functionality with search and pagination.
By the end: Interns should be able to develop REST APIs and connect frontend interfaces to database-backed services.

Topics covered

Authentication versus authorisation
User registration, login, and logout
Secure password hashing
Session-based authentication or JWT fundamentals
Role-Based Access Control (RBAC)
Protected frontend routes
Backend authorisation middleware
Input validation and secure database queries
CORS configuration and security headers
Environment variables and secret management
Common web vulnerabilities and OWASP awareness

What you'll build

  • Implement login and role-based access for administrators, managers, and employees. Verify that restricted operations cannot be accessed without appropriate permissions.
By the end: Interns should understand how to protect application data and enforce permissions on the backend.

Topics covered

Software testing fundamentals
Unit, integration, and end-to-end testing
Testing React components
Testing backend APIs
Positive, negative, and boundary test cases
Debugging frontend and backend errors
Browser Developer Tools and server logs
Code reviews and refactoring
Error handling and regression testing
Coding standards and maintainable code

What you'll build

  • Write tests for employee CRUD APIs, invalid form inputs, unauthorised requests, and important application workflows. Debug and fix identified defects.
By the end: Interns should be able to test application functionality, investigate defects, and improve code quality.

Topics covered

Git fundamentals and repository management
Clone, add, commit, push, and pull operations
Branching and feature development
Pull requests and code reviews
Merge conflicts and conflict resolution
Commit-message conventions
Issue tracking and task assignment
Agile and Scrum fundamentals
Sprint planning and task estimation
Technical documentation and team communication

What you'll build

  • Create a shared project repository, assign features to team members, develop them in separate branches, review pull requests, and merge approved changes.
By the end: Interns should understand collaborative development workflows used by software teams.

Topics covered

Introduction to APIs and REST APIs
Understanding client-server communication
HTTP methods: GET, POST, PUT, and DELETE
HTTP status codes
Request and response formats
JSON data handling
API endpoints and routes
Connecting a React frontend to an Express backend
Fetching and displaying API data
Handling API errors and loading states
Introduction to API testing using Postman

What you'll build

  • Create basic REST API endpoints using Express.js, test them using Postman, and connect the APIs to a React frontend to retrieve and display data.
By the end: Interns should understand basic API concepts, create and test simple API endpoints, and connect frontend applications with backend services.

Apply the technologies and practices covered throughout the internship to develop a working business application.

Topics covered

By the end: Working full-stack application Source-code repository Database schema and ER diagram REST API documentation Test cases and test results Setup instructions and README Deployment instructions Final project demonstration Expected Outcome:** Interns should demonstrate their ability to build and explain a full-stack application, collaborate through version control, test functionality, and follow a structured software development workflow.

Additional modules — topics the 1-month doesn't reach

Develop structured backend applications using Express.js.

Topics covered

Express.js setup
Creating an application server
Routing
Route parameters
Query parameters
Request and response objects
Middleware
Custom middleware
Controller functions
Service-layer separation
Repository and data-access patterns
Input validation
Centralised error handling
handling
Logging middleware
Environment-based configuration
Graceful shutdown
API route organisation
Backend folder structure
Handling asynchronous errors

What you'll build

  • Develop an Express application with separate modules for:
  • Employees
  • Departments
  • Users
  • Authentication
  • Reports
  • Deliverable
  • A structured Express.js backend with reusable middleware, organised routes, and centralised error handling.

Design APIs that are consistent, secure, testable, and suitable for integration with frontend applications.

Topics covered

REST API principles
Resource-based URL design
HTTP methods
HTTP status codes
Request and response formats
Query parameters
Pagination and filtering
Sorting and search
Validation errors
Consistent error response structures
API versioning
API contract design
Idempotency fundamentals
API compatibility
Rate limiting fundamentals
OpenAPI specifications
Swagger documentation
Postman collections
API testing
API deprecation concepts

What you'll build

  • Create and document APIs for:
  • Employee management
  • Department management
  • User authentication
  • Search and filtering
  • Reporting
  • Deliverable
  • A documented REST API with tested endpoints and consistent response formats.

Design relational databases and write SQL queries for business applications.

Topics covered

Relational database fundamentals
Installing and configuring MySQL
MySQL Workbench
Database, table, and schema concepts
Data types
Primary keys
Foreign keys
Constraints
Unique and NOT NULL constraints
Relationships
One-to-one, one-to-many, and many-to-many modelling
Entity Relationship Diagrams
Database normalisation
CREATE, ALTER, and DROP
INSERT, SELECT, UPDATE, and DELETE
WHERE and ORDER BY
GROUP BY and HAVING
Aggregate functions
INNER JOIN and LEFT JOIN
Subqueries
Common Table Expressions
Window functions
Indexes
Transactions
ACID properties
Query parameterisation
SQL injection prevention

What you'll build

  • Create a database with:
  • Employees
  • Departments
  • Roles
  • Users
  • Leave requests
  • Audit records
  • Write queries for employee search, department-wise reports, leave summaries, and management dashboards.
  • Deliverable
  • A relational database with an ER diagram, constraints, and a collection of business-oriented SQL queries.

Integrate MySQL with Node.js and manage database changes professionally.

Topics covered

Connecting Node.js to MySQL
Database connection pooling
mysql2 driver fundamentals
Prisma ORM or Sequelize ORM
Models and schema definitions
CRUD operations
Relationships and associations
Database transactions
Migrations
Seed data
Data-access layer
Parameterised queries
Database configuration
Connection errors and timeouts
Concurrent database operations
Transaction rollback
Schema version control
Development and test database separation
Database backups and recovery fundamentals
Query optimisation introduction

What you'll build

  • Connect the Express application to MySQL and implement employee CRUD APIs with:
  • Database migrations
  • Seed data
  • Validation
  • Relationships
  • Error handling
  • Transactional business operations
  • Deliverable
  • A functioning backend connected to MySQL with controlled schema migrations and reliable data access.
  • MODULE 14A: PYTHON BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using Python and a suitable Python web framework.
  • Topics Covered
  • Python backend project setup and virtual environments
  • Python fundamentals required for backend development
  • Choosing an appropriate framework: Django, Flask, or FastAPI
  • Project structure and configuration
  • Routing and request-response handling
  • HTTP methods and status codes
  • Path parameters, query parameters, and request bodies
  • JSON responses and data validation
  • Building REST API endpoints
  • Business logic and separation of concerns
  • Error handling and logging
  • Environment variables and secret management
  • Connecting Python applications to MySQL
  • Database drivers and ORM concepts
  • CRUD operations
  • Parameterised queries and SQL injection prevention
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and integration testing
  • Running the application in development and production environments
  • Build a Python backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and handle errors consistently.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested Python REST API integrated with MySQL and ready to connect to the React frontend.
  • MODULE 14B: PHP BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using PHP, with Laravel as the recommended framework for structured application development.
  • Topics Covered
  • PHP installation and development environment setup
  • PHP syntax, variables, data types, operators, and control flow
  • Functions, arrays, and string handling
  • Object-oriented PHP: classes, objects, inheritance, interfaces, and traits
  • Composer and dependency management
  • PHP project structure
  • Laravel fundamentals and project setup
  • Routing and controllers
  • Request and response handling
  • REST API endpoints
  • Middleware and request validation
  • Environment configuration using .env
  • Error handling and logging
  • Connecting PHP/Laravel to MySQL
  • Models, migrations, and database seeders
  • CRUD operations using Laravel's database tools or ORM
  • Relationships and database transactions
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and feature testing
  • Secure handling of credentials and application configuration
  • Build a PHP/Laravel backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and return consistent API responses.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested PHP/Laravel REST API integrated with MySQL and ready to connect to the React frontend.
  • Backend Track Selection Note
  • The course does not require participants to implement the same backend in all three technologies. The organisation or project team can select Node.js/Express.js, Python, or PHP/Laravel as the primary backend track. If time permits, the other tracks can be taught as optional extensions.
  • SECURITY, TESTING, AND SOFTWARE QUALITY

Implement secure login and access control for multi-user business applications.

Topics covered

Authentication versus authorisation
User registration
Login and logout
Password hashing
Password reset workflow
Session-based authentication
JWT fundamentals and trade-offs
Access-token and refresh-token handling
Secure cookies
Token expiry
Role-Based Access Control
Permissions
Protected React routes
Backend authorisation middleware
Login throttling
Account security
Multi-factor authentication concepts
Session management
Audit logging

What you'll build

  • Implement authentication and roles for:
  • Administrator
  • Manager
  • Employee
  • Ensure that sensitive operations are authorised by the backend.
  • Deliverable
  • A full-stack application with working login, logout, and role-based permissions.

Live client projects

In the extended program you work on 2–3 live client projects across the duration. You're not just doing exercises — you're contributing to software a real client is waiting to receive.

Live client project
APIVista — API Monitoring Dashboard

Real-time endpoint health checking, latency histogram tracking, error rate alerting, and uptime SLA reporting across environments.

React.jsNode.jsExpressPostgreSQLTailwind CSS
Live client project
WorkforceIQ — Employee Growth and Performance Intelligence

Skill matrix assessment, continuous appraisal workflows, goal tracking, and automated performance scorecards.

ReactNode.jsExpressMongoDBChart.js
Live client project
Intern Management and Evaluation Platform

Centralized tracking of intern submissions, mentor code reviews, attendance logs, and milestone completions.

React.jsTypeScriptExpressMySQLTailwind CSS
Live client project
Smart Office Access and Attendance System

Device access logging, geofenced clock-in, overtime calculation, shift scheduling, and admin reporting.

Next.jsNode.jsPostgreSQLRedisREST APIs

Everything included in your 2–6 month enrollment

✓
120+ live training hours with senior developers
✓
Limited VR project sessions (interactive debugging & architecture walkthroughs)
✓
15+ modules: all 10 core + 5 advanced modules
✓
2–3 live client projects with production code review
✓
Internship completion certificate + Letter of Recommendation
✓
LinkedIn profile optimization & resume review
✓
Remote, hybrid, or in-office at Bangalore

2–6 Month Full Stack Web Development Internship

Deeper learning · More projects · Stronger portfolio

₹9,000
₹4,500
50% off
2 / 3 / 4 / 6 months · live daily sessions
Register on WhatsApp
Ready for the complete career-ready path?

The Career-Ready flagship bundles everything here with the full Full Stack Web Development career course, industry project standards, and 25 AI-powered development modules — 400+ live hours total. The program serious developers choose when they want job outcomes, not just a certificate.

Career-Ready Program — Flagship

The complete path from zero to job-ready. Four programs bundled into one: the full Full Stack Web Development internship, the advanced Full Stack Web Development career course, industry-grade project engineering, and 25+ modules on AI-powered development. Every day is five hours of live training. This is the program for students who want a real outcome — not just a certificate on a shelf.

400+ live training hours
4 full programs
5+ live client projects
How the 400+ hours break down: 5 live hours per day, 30 hours per week, approximately 120 hours per month — plus extra mentorship, modular support sessions, project reviews, and code walkthroughs on top of scheduled training. Over a 3–6 month program, this compounds to 400+ contact hours.
Real Corporate Campus • Active Software Workplace

This is NOT a Classroom.
It is an Office Where 2,000+ Employees Are Working Daily.

Train directly on our live corporate floor where 2,000+ software engineers build real client software daily — zero theoretical classrooms.

👥
2,000+Software Engineers on Floor
🏢
Zero ClassroomsLive Development Floor
🥽
100+ VR SessionsUnlimited Revision (2 Yrs)
LIVE FLOOR TOUR • White and Box Corporate Workplace (Bengaluru)
✓ Office Floor where 2,000+ Engineers Work Daily

🔊 Click video to watch with audio in fullscreen

🚀
Why this is your ultimate hiring advantage: Top tech employers don't hire students from theoretical coaching centers. You graduate with genuine corporate floor experience, production repo contributions, and VR system mastery that gives you the confidence of an experienced software engineer.

Program 1 — Full Stack Web Development Internship (all 15 modules, complete in full depth)

Complete Foundational Track Included
In the Flagship program, you complete all 15 modules of the internship in full depth, building enterprise capabilities before advancing to specialized architecture.

Topics covered

Introduction to full-stack development and client-server architecture
HTML5, semantic elements, forms, and tables
CSS3, Flexbox, Grid, and responsive web design
JavaScript fundamentals, functions, arrays, and objects
Modern JavaScript: ES6+, modules, promises, and async/await
HTTP/HTTPS, JSON, request-response lifecycle, and status codes
Introduction to Git and development tools

What you'll build

  • Build a responsive business website with a registration form, navigation bar, data table, and JavaScript-based form validation.
By the end: Interns should understand web fundamentals and build responsive, interactive web pages.

Topics covered

React project setup using Vite
JSX, functional components, props, and state
React hooks: useState and useEffect
Event handling and conditional rendering
Lists, reusable components, and component composition
React Router and multi-page applications
Forms, validation, and error messages
Responsive UI development using Tailwind CSS or Material UI
Component organisation and frontend coding standards

What you'll build

  • Develop a business dashboard with login, employee listing, employee registration, editing forms, navigation, search, and filtering.
By the end: Interns should be able to build modular React applications with reusable components and functional navigation.

Topics covered

Node.js fundamentals and npm
Asynchronous programming and error handling
Express.js application setup
Routing, middleware, and request-response handling
Controllers, services, and backend folder structure
Request validation and centralised error handling
CRUD operations and backend business logic
Development versus production configuration

What you'll build

  • Develop a backend application with employee registration, employee retrieval, updating, and deletion endpoints.
By the end: Interns should be able to create structured backend services and implement business logic using Node.js and Express.js.

Topics covered

Relational database concepts and schema design
Tables, data types, primary keys, and foreign keys
Database relationships and normalisation
SQL commands: CREATE, INSERT, SELECT, UPDATE, and DELETE
WHERE, ORDER BY, GROUP BY, and HAVING
Joins, subqueries, and aggregate functions
Constraints, indexes, and transactions
Database connectivity from Node.js
Parameterised queries and SQL injection prevention
Introduction to ORM tools and database migrations

What you'll build

  • Design a database for an Employee Management System with employees, departments, and roles. Write queries and integrate the database with the backend.
By the end: Interns should be able to design relational databases, write SQL queries, and connect MySQL to backend applications.

Topics covered

REST API principles and resource-based endpoints
HTTP methods and status codes
GET, POST, PUT, PATCH, and DELETE operations
Request parameters, headers, and JSON payloads
API validation and consistent error responses
Connecting React to Express APIs using Fetch or Axios
Loading indicators and error handling
Search, filtering, sorting, and pagination
API documentation using Swagger/OpenAPI
Testing endpoints using Postman

What you'll build

  • Integrate the React frontend with the Node.js backend and MySQL database. Implement complete employee CRUD functionality with search and pagination.
By the end: Interns should be able to develop REST APIs and connect frontend interfaces to database-backed services.

Topics covered

Authentication versus authorisation
User registration, login, and logout
Secure password hashing
Session-based authentication or JWT fundamentals
Role-Based Access Control (RBAC)
Protected frontend routes
Backend authorisation middleware
Input validation and secure database queries
CORS configuration and security headers
Environment variables and secret management
Common web vulnerabilities and OWASP awareness

What you'll build

  • Implement login and role-based access for administrators, managers, and employees. Verify that restricted operations cannot be accessed without appropriate permissions.
By the end: Interns should understand how to protect application data and enforce permissions on the backend.

Topics covered

Software testing fundamentals
Unit, integration, and end-to-end testing
Testing React components
Testing backend APIs
Positive, negative, and boundary test cases
Debugging frontend and backend errors
Browser Developer Tools and server logs
Code reviews and refactoring
Error handling and regression testing
Coding standards and maintainable code

What you'll build

  • Write tests for employee CRUD APIs, invalid form inputs, unauthorised requests, and important application workflows. Debug and fix identified defects.
By the end: Interns should be able to test application functionality, investigate defects, and improve code quality.

Topics covered

Git fundamentals and repository management
Clone, add, commit, push, and pull operations
Branching and feature development
Pull requests and code reviews
Merge conflicts and conflict resolution
Commit-message conventions
Issue tracking and task assignment
Agile and Scrum fundamentals
Sprint planning and task estimation
Technical documentation and team communication

What you'll build

  • Create a shared project repository, assign features to team members, develop them in separate branches, review pull requests, and merge approved changes.
By the end: Interns should understand collaborative development workflows used by software teams.

Topics covered

Introduction to APIs and REST APIs
Understanding client-server communication
HTTP methods: GET, POST, PUT, and DELETE
HTTP status codes
Request and response formats
JSON data handling
API endpoints and routes
Connecting a React frontend to an Express backend
Fetching and displaying API data
Handling API errors and loading states
Introduction to API testing using Postman

What you'll build

  • Create basic REST API endpoints using Express.js, test them using Postman, and connect the APIs to a React frontend to retrieve and display data.
By the end: Interns should understand basic API concepts, create and test simple API endpoints, and connect frontend applications with backend services.

Apply the technologies and practices covered throughout the internship to develop a working business application.

Topics covered

By the end: Working full-stack application Source-code repository Database schema and ER diagram REST API documentation Test cases and test results Setup instructions and README Deployment instructions Final project demonstration Expected Outcome:** Interns should demonstrate their ability to build and explain a full-stack application, collaborate through version control, test functionality, and follow a structured software development workflow.

Develop structured backend applications using Express.js.

Topics covered

Express.js setup
Creating an application server
Routing
Route parameters
Query parameters
Request and response objects
Middleware
Custom middleware
Controller functions
Service-layer separation
Repository and data-access patterns
Input validation
Centralised error handling
handling
Logging middleware
Environment-based configuration
Graceful shutdown
API route organisation
Backend folder structure
Handling asynchronous errors

What you'll build

  • Develop an Express application with separate modules for:
  • Employees
  • Departments
  • Users
  • Authentication
  • Reports
  • Deliverable
  • A structured Express.js backend with reusable middleware, organised routes, and centralised error handling.

Design APIs that are consistent, secure, testable, and suitable for integration with frontend applications.

Topics covered

REST API principles
Resource-based URL design
HTTP methods
HTTP status codes
Request and response formats
Query parameters
Pagination and filtering
Sorting and search
Validation errors
Consistent error response structures
API versioning
API contract design
Idempotency fundamentals
API compatibility
Rate limiting fundamentals
OpenAPI specifications
Swagger documentation
Postman collections
API testing
API deprecation concepts

What you'll build

  • Create and document APIs for:
  • Employee management
  • Department management
  • User authentication
  • Search and filtering
  • Reporting
  • Deliverable
  • A documented REST API with tested endpoints and consistent response formats.

Design relational databases and write SQL queries for business applications.

Topics covered

Relational database fundamentals
Installing and configuring MySQL
MySQL Workbench
Database, table, and schema concepts
Data types
Primary keys
Foreign keys
Constraints
Unique and NOT NULL constraints
Relationships
One-to-one, one-to-many, and many-to-many modelling
Entity Relationship Diagrams
Database normalisation
CREATE, ALTER, and DROP
INSERT, SELECT, UPDATE, and DELETE
WHERE and ORDER BY
GROUP BY and HAVING
Aggregate functions
INNER JOIN and LEFT JOIN
Subqueries
Common Table Expressions
Window functions
Indexes
Transactions
ACID properties
Query parameterisation
SQL injection prevention

What you'll build

  • Create a database with:
  • Employees
  • Departments
  • Roles
  • Users
  • Leave requests
  • Audit records
  • Write queries for employee search, department-wise reports, leave summaries, and management dashboards.
  • Deliverable
  • A relational database with an ER diagram, constraints, and a collection of business-oriented SQL queries.

Integrate MySQL with Node.js and manage database changes professionally.

Topics covered

Connecting Node.js to MySQL
Database connection pooling
mysql2 driver fundamentals
Prisma ORM or Sequelize ORM
Models and schema definitions
CRUD operations
Relationships and associations
Database transactions
Migrations
Seed data
Data-access layer
Parameterised queries
Database configuration
Connection errors and timeouts
Concurrent database operations
Transaction rollback
Schema version control
Development and test database separation
Database backups and recovery fundamentals
Query optimisation introduction

What you'll build

  • Connect the Express application to MySQL and implement employee CRUD APIs with:
  • Database migrations
  • Seed data
  • Validation
  • Relationships
  • Error handling
  • Transactional business operations
  • Deliverable
  • A functioning backend connected to MySQL with controlled schema migrations and reliable data access.
  • MODULE 14A: PYTHON BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using Python and a suitable Python web framework.
  • Topics Covered
  • Python backend project setup and virtual environments
  • Python fundamentals required for backend development
  • Choosing an appropriate framework: Django, Flask, or FastAPI
  • Project structure and configuration
  • Routing and request-response handling
  • HTTP methods and status codes
  • Path parameters, query parameters, and request bodies
  • JSON responses and data validation
  • Building REST API endpoints
  • Business logic and separation of concerns
  • Error handling and logging
  • Environment variables and secret management
  • Connecting Python applications to MySQL
  • Database drivers and ORM concepts
  • CRUD operations
  • Parameterised queries and SQL injection prevention
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and integration testing
  • Running the application in development and production environments
  • Build a Python backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and handle errors consistently.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested Python REST API integrated with MySQL and ready to connect to the React frontend.
  • MODULE 14B: PHP BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using PHP, with Laravel as the recommended framework for structured application development.
  • Topics Covered
  • PHP installation and development environment setup
  • PHP syntax, variables, data types, operators, and control flow
  • Functions, arrays, and string handling
  • Object-oriented PHP: classes, objects, inheritance, interfaces, and traits
  • Composer and dependency management
  • PHP project structure
  • Laravel fundamentals and project setup
  • Routing and controllers
  • Request and response handling
  • REST API endpoints
  • Middleware and request validation
  • Environment configuration using .env
  • Error handling and logging
  • Connecting PHP/Laravel to MySQL
  • Models, migrations, and database seeders
  • CRUD operations using Laravel's database tools or ORM
  • Relationships and database transactions
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and feature testing
  • Secure handling of credentials and application configuration
  • Build a PHP/Laravel backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and return consistent API responses.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested PHP/Laravel REST API integrated with MySQL and ready to connect to the React frontend.
  • Backend Track Selection Note
  • The course does not require participants to implement the same backend in all three technologies. The organisation or project team can select Node.js/Express.js, Python, or PHP/Laravel as the primary backend track. If time permits, the other tracks can be taught as optional extensions.
  • SECURITY, TESTING, AND SOFTWARE QUALITY

Implement secure login and access control for multi-user business applications.

Topics covered

Authentication versus authorisation
User registration
Login and logout
Password hashing
Password reset workflow
Session-based authentication
JWT fundamentals and trade-offs
Access-token and refresh-token handling
Secure cookies
Token expiry
Role-Based Access Control
Permissions
Protected React routes
Backend authorisation middleware
Login throttling
Account security
Multi-factor authentication concepts
Session management
Audit logging

What you'll build

  • Implement authentication and roles for:
  • Administrator
  • Manager
  • Employee
  • Ensure that sensitive operations are authorised by the backend.
  • Deliverable
  • A full-stack application with working login, logout, and role-based permissions.

Program 2 — Full Full Stack Web Development Career Course

🥽 100+ VR Sessions • Unlimited 2-Yr Revisions
Exclusive Flagship Track

Enterprise VR Learning Lab • 100+ Sessions • Unlimited 2-Year Revisions

Unlike short internships with limited VR sessions, Career-Ready includes 100+ interactive VR sessions and unlimited revisions for 2 full years.

ENTERPRISE VR LAB • 100+ Immersive Sessions
⭐ 100+ Sessions • 2-Year Unlimited Revisions Included

🔊 Click video to watch Career VR session preview with audio in fullscreen

⭐ 100+ VR Sessions ♾️ Unlimited Revisions for 2 Years 🏛️ 3D Architecture & System Tracing

Understand how web applications work and how corporate development teams convert business requirements into software.

Topics covered

Introduction to software engineering
Understanding frontend, backend, and database layers
Client-server architecture
How browsers communicate with servers
How websites and web applications differ
Request-response lifecycle
HTTP and HTTPS fundamentals
HTTP methods and status codes
DNS, domains, IP addresses, and ports
JSON and data exchange
Introduction to REST APIs
Understanding development, testing, staging, and production environments
Introduction to the Software Development Life Cycle
Agile methodology and Scrum fundamentals
Introduction to client requirements and project documentation

What you'll build

  • Inspect the network requests of an existing website.
  • Identify frontend assets and API calls using browser tools.
  • Draw a basic frontend-backend-database architecture diagram.
  • Write a simple requirement document for an employee management application.
  • Deliverable
  • A basic project requirement document and an architecture diagram.

Develop the structural foundation of professional web interfaces.

Topics covered

HTML document structure
Elements, attributes, and tags
Headings, paragraphs, and text formatting
Links and navigation
Ordered and unordered lists
Images and multimedia
Tables and structured data
Forms and form controls
Input types and attributes
Labels and form accessibility
HTML5 semantic elements
Header, navigation, main, section, article, and footer
Form validation attributes
Accessibility fundamentals
Meta tags and page titles
Organising files and assets
Clean and maintainable HTML

What you'll build

  • Build the following:
  • Personal portfolio page
  • Employee registration form
  • Employee information table
  • Login and registration interface
  • Basic business dashboard structure
  • Deliverable
  • A multi-page HTML application with semantic structure and accessible forms.

Develop responsive and visually consistent interfaces suitable for business applications.

Topics covered

CSS syntax and selectors
Cascade, specificity, and inheritance
Box model
Margin, padding, borders, and sizing
Colours, typography, and backgrounds
Display properties
Positioning and stacking contexts
Flexbox
CSS Grid
Responsive design
Media queries
Mobile-first design
CSS variables
Transitions and animations
Reusable styling
Form and table styling
Responsive navigation and sidebars
UI consistency and design systems
Accessibility and colour contrast
Browser inspection and layout debugging
Framework Introduction
Tailwind CSS or Material UI
Basic design-system concepts

What you'll build

  • Build a responsive employee dashboard containing:
  • Navigation bar
  • Sidebar
  • Dashboard cards
  • Employee table
  • Search and filter controls
  • Registration form
  • Responsive mobile layout
  • Deliverable
  • A responsive business dashboard that works across supported desktop, tablet, and mobile screen sizes.

Develop programming skills required for interactive frontend applications and Node.js backend development.

Topics covered

Variables and constants
Data types
Operators and expressions
Conditional statements
Loops
Functions and arrow functions
Scope and closures
Arrays and objects
Array methods: map, filter, reduce, find, and some
Destructuring
Spread and rest operators
Template literals
Optional chaining and nullish coalescing
Exception handling
DOM manipulation fundamentals
Event handling
Form validation
JSON processing
Promises
async/await
Fetch API
Asynchronous error handling
Local storage and session storage
Debugging JavaScript
Clean code and naming conventions

What you'll build

  • Create a calculator.
  • Build a task management application.
  • Implement employee search and filtering.
  • Validate registration forms.
  • Retrieve data from a public test API.
  • Display API data with loading and error states.
  • Build a basic expense tracker using browser storage.
  • Deliverable
  • A functional JavaScript application with interactive components, data manipulation, and API integration.

Prepare participants to develop type-safe frontend and backend applications.

Topics covered

TypeScript introduction
Type annotations
Primitive and complex types
Arrays and objects
Interfaces and type aliases
Union and intersection types
Optional properties
Enums where appropriate
Functions and return types
Type narrowing
Generics
Utility types
Type-safe API response definitions
TypeScript configuration
Strict mode
JavaScript versus TypeScript
Compile-time and runtime errors
ESLint and Prettier
Code formatting and naming conventions
Introduction to debugging and refactoring

What you'll build

  • Convert selected JavaScript functions to TypeScript.
  • Define employee and department interfaces.
  • Create type-safe validation functions.
  • Model API response types.
  • Fix type errors in a sample project.
  • Deliverable
  • A small TypeScript application with strict type checking, linting, and consistent formatting.
  • REACT FRONTEND DEVELOPMENT

Develop modular frontend applications using React.

Topics covered

React introduction and component architecture
Creating projects using Vite
JSX
Functional components
Props
State management with useState
Event handling
Conditional rendering
Rendering lists and using keys
Component composition
Reusable components
Lifting state up
useEffect
Component side effects
Cleanup functions
Custom hooks
Context API fundamentals
Error boundaries
React Developer Tools
Component organisation
Performance fundamentals

What you'll build

  • Create reusable components for:
  • Employee cards
  • Employee tables
  • Search fields
  • Status badges
  • Navigation bars
  • Dashboard summary cards
  • Forms and confirmation dialogs
  • Deliverable
  • A component-based React employee directory.

Develop multi-page business applications with professional navigation and form handling.

Topics covered

React Router
Client-side routing
Nested routes
Route parameters
Query parameters
Layout components
Navigation and redirects
Not-found pages
Protected route concepts
Controlled form inputs
Form state and validation
Dynamic forms
Reusable form components
Error messages
Confirmation dialogs
Toast notifications
Loading and empty states
Responsive layouts
Form accessibility
Reusable UI patterns

What you'll build

  • Create the following pages:
  • Login
  • Dashboard
  • Employee listing
  • Employee details
  • Add employee
  • Edit employee
  • Department listing
  • Not-found page
  • Deliverable
  • A multi-page React business application with reusable components, routing, and validated forms.

Connect React applications to backend services and handle server data reliably.

Topics covered

HTTP requests from React
Fetch API and Axios
GET, POST, PUT, PATCH, and DELETE
API service-layer organisation
Request headers and JSON payloads
Handling API responses
Loading indicators
Error handling
Network failure scenarios
Search and filtering through APIs
Server-side pagination
Sorting
Request cancellation
Caching and cache invalidation
Avoiding unnecessary requests
Optimistic updates where appropriate
Authentication-aware API calls
Environment-specific API URLs

What you'll build

  • Connect the employee directory to a test API and implement:
  • Employee listing
  • Employee creation
  • Employee updates
  • Employee deletion
  • Search
  • Filtering
  • Pagination
  • Loading and error states
  • Deliverable
  • A React application integrated with an API and equipped with consistent request handling.

Build maintainable React applications that can support growing requirements and larger teams.

Topics covered

Feature-based folder organisation
Component and page separation
Shared components
Custom hooks
Context API
Local state versus global state
Server state versus client state
State management principles
Redux Toolkit introduction where justified
Form-state management
Reusable API hooks
Lazy loading
Code splitting
Avoiding unnecessary re-renders
Memoisation fundamentals
Bundle-size awareness
Accessibility testing
Error boundaries
Frontend environment configuration
Frontend coding standards
Basic frontend security considerations

What you'll build

  • Refactor a single-file React application into feature-based modules. Implement reusable hooks, centralised API handling, and improved loading and error states.
  • Deliverable
  • A maintainable React frontend with a documented folder structure and consistent coding standards.
  • BACKEND DEVELOPMENT, REST APIs, AND MYSQL

Understand Node.js and develop the foundation required for backend engineering.

Topics covered

Node.js architecture
Installing and configuring Node.js
npm and package management
package.json and package-lock.json
CommonJS and ES modules
Importing and exporting modules
Node.js event loop fundamentals
Asynchronous programming
Promises and async/await
Error handling
Environment variables
File-system fundamentals
Process and server lifecycle
HTTP server basics
Dependency management
Development and production dependencies
Debugging Node.js applications
npm scripts
Understanding non-blocking I/O

What you'll build

  • Create a basic Node.js server.
  • Build a command-line utility.
  • Read and validate JSON data.
  • Implement asynchronous operations.
  • Handle invalid input and runtime errors.
  • Deliverable
  • A modular Node.js application with organised files, error handling, and configuration.

Develop structured backend applications using Express.js.

Topics covered

Express.js setup
Creating an application server
Routing
Route parameters
Query parameters
Request and response objects
Middleware
Custom middleware
Controller functions
Service-layer separation
Repository and data-access patterns
Input validation
Centralised error handling
handling
Logging middleware
Environment-based configuration
Graceful shutdown
API route organisation
Backend folder structure
Handling asynchronous errors

What you'll build

  • Develop an Express application with separate modules for:
  • Employees
  • Departments
  • Users
  • Authentication
  • Reports
  • Deliverable
  • A structured Express.js backend with reusable middleware, organised routes, and centralised error handling.

Design APIs that are consistent, secure, testable, and suitable for integration with frontend applications.

Topics covered

REST API principles
Resource-based URL design
HTTP methods
HTTP status codes
Request and response formats
Query parameters
Pagination and filtering
Sorting and search
Validation errors
Consistent error response structures
API versioning
API contract design
Idempotency fundamentals
API compatibility
Rate limiting fundamentals
OpenAPI specifications
Swagger documentation
Postman collections
API testing
API deprecation concepts

What you'll build

  • Create and document APIs for:
  • Employee management
  • Department management
  • User authentication
  • Search and filtering
  • Reporting
  • Deliverable
  • A documented REST API with tested endpoints and consistent response formats.

Design relational databases and write SQL queries for business applications.

Topics covered

Relational database fundamentals
Installing and configuring MySQL
MySQL Workbench
Database, table, and schema concepts
Data types
Primary keys
Foreign keys
Constraints
Unique and NOT NULL constraints
Relationships
One-to-one, one-to-many, and many-to-many modelling
Entity Relationship Diagrams
Database normalisation
CREATE, ALTER, and DROP
INSERT, SELECT, UPDATE, and DELETE
WHERE and ORDER BY
GROUP BY and HAVING
Aggregate functions
INNER JOIN and LEFT JOIN
Subqueries
Common Table Expressions
Window functions
Indexes
Transactions
ACID properties
Query parameterisation
SQL injection prevention

What you'll build

  • Create a database with:
  • Employees
  • Departments
  • Roles
  • Users
  • Leave requests
  • Audit records
  • Write queries for employee search, department-wise reports, leave summaries, and management dashboards.
  • Deliverable
  • A relational database with an ER diagram, constraints, and a collection of business-oriented SQL queries.

Integrate MySQL with Node.js and manage database changes professionally.

Topics covered

Connecting Node.js to MySQL
Database connection pooling
mysql2 driver fundamentals
Prisma ORM or Sequelize ORM
Models and schema definitions
CRUD operations
Relationships and associations
Database transactions
Migrations
Seed data
Data-access layer
Parameterised queries
Database configuration
Connection errors and timeouts
Concurrent database operations
Transaction rollback
Schema version control
Development and test database separation
Database backups and recovery fundamentals
Query optimisation introduction

What you'll build

  • Connect the Express application to MySQL and implement employee CRUD APIs with:
  • Database migrations
  • Seed data
  • Validation
  • Relationships
  • Error handling
  • Transactional business operations
  • Deliverable
  • A functioning backend connected to MySQL with controlled schema migrations and reliable data access.
  • MODULE 14A: PYTHON BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using Python and a suitable Python web framework.
  • Topics Covered
  • Python backend project setup and virtual environments
  • Python fundamentals required for backend development
  • Choosing an appropriate framework: Django, Flask, or FastAPI
  • Project structure and configuration
  • Routing and request-response handling
  • HTTP methods and status codes
  • Path parameters, query parameters, and request bodies
  • JSON responses and data validation
  • Building REST API endpoints
  • Business logic and separation of concerns
  • Error handling and logging
  • Environment variables and secret management
  • Connecting Python applications to MySQL
  • Database drivers and ORM concepts
  • CRUD operations
  • Parameterised queries and SQL injection prevention
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and integration testing
  • Running the application in development and production environments
  • Build a Python backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and handle errors consistently.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested Python REST API integrated with MySQL and ready to connect to the React frontend.
  • MODULE 14B: PHP BACKEND DEVELOPMENT
  • Objective
  • Develop REST APIs and backend services using PHP, with Laravel as the recommended framework for structured application development.
  • Topics Covered
  • PHP installation and development environment setup
  • PHP syntax, variables, data types, operators, and control flow
  • Functions, arrays, and string handling
  • Object-oriented PHP: classes, objects, inheritance, interfaces, and traits
  • Composer and dependency management
  • PHP project structure
  • Laravel fundamentals and project setup
  • Routing and controllers
  • Request and response handling
  • REST API endpoints
  • Middleware and request validation
  • Environment configuration using .env
  • Error handling and logging
  • Connecting PHP/Laravel to MySQL
  • Models, migrations, and database seeders
  • CRUD operations using Laravel's database tools or ORM
  • Relationships and database transactions
  • Authentication and authorisation fundamentals
  • API documentation
  • Unit and feature testing
  • Secure handling of credentials and application configuration
  • Build a PHP/Laravel backend for the employee management system.
  • Implement employee and department CRUD endpoints.
  • Connect the backend to the existing MySQL schema.
  • Validate requests and return consistent API responses.
  • Test endpoints using Postman.
  • Document the API and setup instructions.
  • Deliverable
  • A tested PHP/Laravel REST API integrated with MySQL and ready to connect to the React frontend.
  • Backend Track Selection Note
  • The course does not require participants to implement the same backend in all three technologies. The organisation or project team can select Node.js/Express.js, Python, or PHP/Laravel as the primary backend track. If time permits, the other tracks can be taught as optional extensions.
  • SECURITY, TESTING, AND SOFTWARE QUALITY

Implement secure login and access control for multi-user business applications.

Topics covered

Authentication versus authorisation
User registration
Login and logout
Password hashing
Password reset workflow
Session-based authentication
JWT fundamentals and trade-offs
Access-token and refresh-token handling
Secure cookies
Token expiry
Role-Based Access Control
Permissions
Protected React routes
Backend authorisation middleware
Login throttling
Account security
Multi-factor authentication concepts
Session management
Audit logging

What you'll build

  • Implement authentication and roles for:
  • Administrator
  • Manager
  • Employee
  • Ensure that sensitive operations are authorised by the backend.
  • Deliverable
  • A full-stack application with working login, logout, and role-based permissions.

Protect client data and reduce common web application vulnerabilities.

Topics covered

OWASP Top 10 awareness
SQL injection prevention
Cross-Site Scripting
Cross-Site Request Forgery
Broken access control
Input validation
Output encoding
Secure password storage
Session security
CORS configuration
Security headers
Rate limiting
Secret management
HTTPS and TLS fundamentals
Dependency vulnerability checks
Secure file-upload fundamentals
Sensitive-data protection
Error-message security
Logging without exposing confidential information
Least-privilege database permissions
Basic threat modelling

What you'll build

  • Conduct a security review of the employee management application. Identify insecure queries, weak access controls, exposed credentials, and inappropriate error responses.
  • Deliverable
  • A security checklist and a remediated application with documented findings.

Verify application behaviour and reduce regressions through repeatable automated tests.

Topics covered

Unit Testing
Test structure
Assertions
Test setup and teardown
Mocking dependencies
Testing business logic
Testing validation rules
Frontend Testing
React component tests
User interactions
Form validation
Loading and error states
Accessibility checks
Backend Testing
Route testing
Controller and service tests
API response verification
Authentication tests
Authorisation tests
Error-path testing
Integration Testing
Database interaction
Test data setup
Isolated test environments
Transaction behaviour
Failure scenarios
End-to-End Testing
Login workflow
Employee creation
Editing and deletion
Search and pagination
Role restrictions
Form validation

What you'll build

  • Write automated tests for employee CRUD, invalid input, duplicate records, unauthorised access, and complete browser-based workflows.
  • Deliverable
  • An automated test suite covering critical frontend, backend, and end-to-end workflows.

Develop the skills required to diagnose defects, review teammates' code, and improve existing applications.

Topics covered

Debugging React applications
Browser breakpoints
Debugging Node.js
Stack traces and error investigation
Network request analysis
Database query troubleshooting
Reproducing defects
Root-cause analysis
Writing minimal bug reproductions
Logging for diagnosis
Code review practices
Reviewing security and error handling
Naming and readability
Refactoring duplicated logic
Separation of concerns
SOLID principles where applicable
Common code smells
Technical debt
Regression testing after fixes
Writing useful bug reports

What you'll build

  • Investigate a prepared application containing frontend defects, backend exceptions, database errors, and authorisation issues. Fix the issues and submit a reviewed pull request.
  • Deliverable
  • A defect report, corrected code, and a documented code review.

Prepare participants to work in collaborative corporate development teams.

Topics covered

Git fundamentals
Repository creation and cloning
Branching and commits
Push and pull operations
Feature branches
Pull requests and merge requests
Merge conflicts
Merge versus rebase
Commit-message conventions
Branch protection
Code-review approvals
Release tags
Reverting changes
Issue tracking
Agile and Scrum workflow
Sprint planning
Task estimation
User stories and acceptance criteria
Daily stand-ups
Sprint reviews and retrospectives
Documentation and handover

What you'll build

  • Conduct a simulated two-week sprint. Assign tasks, create branches, submit pull requests, resolve conflicts, review code, and merge approved changes.
  • Deliverable
  • A team repository with structured branches, reviewed changes, issue tracking, and sprint documentation.
  • DEVOPS, CI/CD, AND DEPLOYMENT

Prepare applications for consistent development, testing, and deployment across different environments.

Topics covered

Development, testing, staging, and production
Environment variables
Frontend configuration
Backend configuration
Database connection settings
Secret management
Configuration validation
Feature flags
Environment-specific logging
Dependency management
env files for local development
Preventing secrets from entering source control
Database access restrictions
Configuration documentation
Build-time versus runtime configuration

What you'll build

  • Configure separate local and staging environments with different API URLs and database credentials. Validate required settings at application startup.
  • Deliverable
  • A documented configuration system that separates environment-specific settings and protects secrets.

Package applications and dependencies into repeatable development and deployment environments.

Topics covered

Containerisation fundamentals
Docker architecture
Images and containers
Dockerfiles
Build context
dockerignore
Multi-stage builds
Node.js containers
Container networking
Environment variables
Persistent volumes
Docker Compose
MySQL container configuration
Container logs
Health checks
Non-root containers
Image size optimisation
Container security fundamentals
Development versus production containers

What you'll build

  • Containerise:
  • React frontend
  • Express backend
  • MySQL database
  • Configure the application using Docker Compose and document startup, shutdown, and troubleshooting procedures.
  • Deliverable
  • A containerised full-stack application that can be started consistently on another developer's machine.

Automate code validation, testing, build creation, and approved deployment steps.

Topics covered

Continuous Integration
Continuous Delivery and Continuous Deployment
Pipeline structure
Dependency installation
Linting and type checking
Unit and integration tests
Production builds
Test result reporting
Dependency security checks
Docker image builds
Artifact storage
Environment-specific deployments
Pipeline secrets
Branch-based workflows
Protected production environments
Approval gates
Failed-build investigation
Release tagging
Deployment verification
Rollback fundamentals

What you'll build

  • Build a pipeline that:
  • Runs on pull requests.
  • Installs dependencies.
  • Runs linting and type checks.
  • Executes automated tests.
  • Builds the frontend and backend.
  • Builds a container image when appropriate.
  • Deploys to a staging environment after the required checks.
  • Deliverable
  • A working CI/CD pipeline with automated validation and a controlled staging deployment.

Deploy the application to a cloud or approved hosting environment and understand the responsibilities involved in production support.

Topics covered

Cloud computing fundamentals
Hosting options
Frontend deployment
Backend deployment
Managed MySQL hosting
DNS and domain configuration
HTTPS certificates
Reverse proxies
Network access controls
Environment variables and secrets
Database migrations during deployment
Health endpoints
Smoke testing
Application logs
Error tracking
Basic performance monitoring
Uptime and availability
Alerts and incident response
Backup and recovery
Rollback planning
Dependency updates
Cost and resource awareness
Production support documentation

What you'll build

  • Deploy the application to a staging environment, configure HTTPS, connect the database securely, run smoke tests, inspect logs, and document rollback steps.
  • Deliverable
  • A deployed application with documented configuration, verification, monitoring, and recovery procedures.
  • INDUSTRIAL PROJECT DEVELOPMENT AND CLIENT DELIVERY

Prepare the application for realistic usage by improving performance, reliability, and operational readiness.

Topics covered

Frontend Performance
Bundle-size analysis
Lazy loading
Code splitting
Efficient rendering
Image and asset optimisation
Network request reduction
Caching static assets
Backend Performance
API response-time analysis
Efficient asynchronous operations
Avoiding blocking operations
Database connection pooling
Pagination and bounded queries
Caching fundamentals
Timeouts and retry policies
Rate limiting
Database Performance
Index selection
Query execution plans
Slow-query investigation
Transaction duration
Lock contention
Connection limits
Reliability and Operations
Load testing
Stress testing
Health checks
Error monitoring
Graceful failure handling
Backup verification
Recovery planning
Capacity planning
Service-level indicators and objectives
Operational runbooks

What you'll build

  • Load-test selected API endpoints, investigate slow database queries, improve application performance, and document the results.
  • Deliverable
  • A performance and production-readiness report containing test scenarios, findings, improvements, and known limitations.

Demonstrate end-to-end ability to build, test, deploy, and document a full-stack application following a corporate software delivery workflow. Recommended Project Enterprise Employee and Operations Management System Alternative Projects Customer Relationship Management System Inventory and Warehouse Management System E-commerce Management Platform Appointment and Booking System Leave and Attendance Management System Service Request Management Portal

Topics covered

What you'll build

  • AND ASSESSMENT MODEL
  • The programme should emphasise practical implementation instead of relying exclusively on theoretical explanations.
  • Suggested Assessment Distribution
  • Technical concepts and quizzes — 10%
  • Coding exercises and weekly assignments — 20%
  • Module-wise practical assessments — 20%
  • Mini-projects — 15%
  • Code quality, Git workflow, and testing — 10%
  • Final industrial capstone project — 25%
  • Total: 100%
  • Assessment criteria can be adjusted based on the organisation's training policies.
  • Weekly Assessment Activities
  • Coding exercises
  • Debugging exercises
  • SQL query assignments
  • API implementation tasks
  • Frontend component development
  • Peer code reviews
  • Git workflow exercises
  • Test-case creation
  • Short technical demonstrations
  • Documentation assignments
  • CORPORATE DEVELOPMENT STANDARDS
  • All projects developed during the programme should follow these practices.
  • Code Quality
  • Use consistent naming conventions.
  • Keep components and functions focused.
  • Separate business logic from presentation.
  • Use linting and formatting tools.
  • Avoid unnecessary code duplication.
  • Document important architectural decisions.
  • Version Control
  • Maintain a shared repository.
  • Use feature branches and pull requests.
  • Review changes before merging.
  • Never commit passwords, tokens, or production credentials.
  • Link significant changes to project tasks.
  • Database Management
  • Use primary and foreign keys appropriately.
  • Apply constraints for data integrity.
  • Use parameterised queries.
  • Version-control schema migrations.
  • Restrict database permissions.
  • Maintain suitable backup and recovery procedures.
  • API Development
  • Validate all incoming data.
  • Use appropriate HTTP methods and status codes.
  • Return consistent error responses.
  • Document API contracts.
  • Enforce authentication and authorisation where required.
  • Avoid exposing sensitive information.
  • Testing
  • Test critical business workflows.
  • Include negative and boundary cases.
  • Automate repeatable tests.
  • Run relevant checks before merging and releasing.
  • Record defects and verify fixes.
  • Security
  • Follow secure coding practices.
  • Store secrets using approved mechanisms.
  • Use HTTPS in production.
  • Apply least-privilege access.
  • Review dependencies and permissions.
  • Protect sensitive data in application logs.
  • Deployment
  • Keep development, testing, staging, and production environments appropriately separated.
  • Automate repeatable build and validation tasks.
  • Apply controlled production approvals.
  • Verify deployments with smoke tests.
  • Maintain recovery and rollback procedures.
  • Documentation
  • Maintain a README and setup guide.
  • Document APIs and database schemas.
  • Keep deployment instructions current.
  • Document known limitations.
  • Provide handover and operational support information.
  • EXPECTED OUTCOMES
  • After successfully completing the training programme and capstone, participants should be able to:
  • Understand client requirements and convert them into technical tasks.
  • Build responsive user interfaces using HTML, CSS, JavaScript, TypeScript, and React.
  • Develop structured backend applications using Node.js and Express.js.
  • Develop REST APIs using Python and a suitable framework such as Django, Flask, or FastAPI.
  • Develop REST APIs using PHP and Laravel.
  • Design relational databases using MySQL.
  • Write SQL queries, joins, aggregations, and transactions.
  • Develop and document REST APIs.
  • Integrate frontend applications with backend services.
  • Implement authentication and role-based authorisation.
  • Apply common secure coding practices.
  • Write unit, integration, and end-to-end tests.
  • Debug application and database issues.
  • Use Git-based collaboration and code-review workflows.
  • Apply maintainable architecture and coding standards.
  • Containerise applications using Docker.
  • Implement basic CI/CD pipelines.
  • Deploy applications to a suitable staging environment.
  • Read logs and investigate application errors.
  • Understand performance and reliability fundamentals.
  • Prepare technical documentation and project handover material.
  • Demonstrate a complete client-style application.
  • FINAL COURSE COMPLETION CRITERIA
  • A participant should be considered to have successfully completed the programme when they can:
  • Explain the architecture of their application.
  • Demonstrate the core business workflows.
  • Show that the frontend, backend, and database work together.
  • Demonstrate authentication and server-side permissions.
  • Run the automated tests and explain their purpose.
  • Use Git and explain the pull-request workflow.
  • Start the application using the documented setup instructions.
  • Explain the deployment process.
  • Investigate a basic application failure using logs.
  • Present the project and answer technical questions.
  • Provide the source code and required documentation.
  • FINAL PROGRAMME GOAL
  • Prepare participants to contribute to real corporate and client projects as junior full-stack developers who understand not only how to write code, but also how to collaborate, test, secure, deploy, document, and maintain software.
By the end: Complete source-code repository Working full-stack application SRS and user stories Architecture diagram Database ER diagram API documentation Test plan and test report Security checklist Docker configuration CI/CD configuration Deployment guide README and setup instructions Maintenance and troubleshooting guide Final project demonstration

Program 3 — Industry Project Engineering Standards (25 modules)

The complete professional software engineering curriculum — from requirements through deployment, monitoring, and client handover. Every module produces a real deliverable. By the end, you have shipped a complete application the way a consulting firm would: requirements signed off, code tested, system documented, and ownership transferred.

Understand the client's business problem and convert business requirements into clear, testable software requirements.

Topics covered

Understanding the client's business domain
Identifying business objectives and expected outcomes
Functional and non-functional requirements
Identifying users, roles, and responsibilities
Gathering requirements through meetings and discussions
Preparing Software Requirements Specifications (SRS)
User stories and acceptance criteria
Business rules and workflow analysis
Identifying dependencies, constraints, and assumptions
Requirement prioritisation using MoSCoW
Identifying risks and clarifying ambiguous requirements
Requirement traceability and change management

What you'll build

  • Prepare an SRS for an Employee Management System that includes employee registration, authentication, role-based access, employee records, search, leave management, and reporting.
By the end: A developer should be able to understand what the client expects, document the requirements, identify missing information, and establish clear acceptance criteria before development begins.

Understand how corporate software teams plan, execute, review, and deliver software incrementally.

Topics covered

Software Development Life Cycle (SDLC)
Agile development methodology
Scrum framework and Kanban workflow
Product backlog and sprint backlog
Sprint planning and estimation
User story points and task estimation
Daily stand-ups
Sprint reviews and retrospectives
Definition of Ready and Definition of Done
Task assignment and ownership
Bug tracking and issue management
Managing dependencies and blockers
Release planning and change requests
Stakeholder communication
Sprint progress and delivery reporting

What you'll build

  • Convert the Employee Management System requirements into epics, user stories, development tasks, acceptance criteria, and a two-week sprint plan.
By the end: A developer should understand how individual coding tasks fit into sprint commitments, team collaboration, and client delivery schedules.

Build a strong understanding of how browsers, frontend applications, backend servers, and databases communicate.

Topics covered

Client-server architecture
Request-response lifecycle
DNS and domain names
IP addresses and ports
HTTP and HTTPS
HTTP methods: GET, POST, PUT, PATCH, DELETE
HTTP status codes
Request headers and response headers
Request body, query parameters, and route parameters
Cookies and browser storage
JSON and data serialisation
CORS and preflight requests
TLS basics
Browser rendering and developer tools
Frontend, backend, and database responsibilities

What you'll build

  • Trace a login request from a React page to the Node.js backend, inspect the server response, and explain how the backend retrieves and verifies the user's data.
By the end: A developer should understand the complete request lifecycle and diagnose common frontend-backend communication issues.

Develop accessible, responsive, and maintainable user interfaces that work across supported browsers and screen sizes.

Topics covered

HTML5
Semantic HTML elements
Forms and input types
Labels and validation attributes
Tables and structured content
Accessibility attributes
Proper document structure
CSS3
Selectors, specificity, and inheritance
Box model
Flexbox and CSS Grid
Positioning and stacking contexts
Responsive design principles
Media queries
CSS variables
Transitions and animations
Reusable styling patterns
Mobile-first development
Accessibility
Keyboard navigation
Accessible form labels
Focus indicators
Colour contrast
Screen-reader-friendly markup
Accessible error messages
WCAG principles

What you'll build

  • Build a responsive employee dashboard containing a navigation bar, sidebar, employee table, search field, filters, form, and summary cards.
By the end: A developer should be able to build consistent interfaces that are responsive, accessible, and suitable for enterprise applications.

Develop reliable frontend and backend code using modern JavaScript and TypeScript practices.

Topics covered

Modern JavaScript
Variables, data types, and operators
Functions and arrow functions
Scope and closures
Objects and arrays
Destructuring and spread syntax
Array methods: map, filter, reduce, find
Promises and asynchronous programming
async/await and error handling
Event handling
DOM fundamentals
Optional chaining and nullish coalescing
JSON processing
Exception handling
TypeScript
Type annotations
Interfaces and type aliases
Union and intersection types
Type narrowing
Generics
Utility types
Type-safe functions
Typing API responses
Typing React props and state
TypeScript configuration
Professional Practices
ESLint
Prettier
Naming conventions
Avoiding duplicated code
Strict type checking
Understanding compile-time versus runtime errors

What you'll build

  • Implement a type-safe employee data model, filter employee records, validate function inputs, and handle asynchronous data retrieval.
By the end: A developer should be able to write readable, maintainable, and type-safe code for both frontend and backend applications.

Build modular, reusable frontend applications using React.

Topics covered

React project setup using Vite
JSX and component fundamentals
Functional components
Props and component composition
State management with useState
Side effects with useEffect
Conditional rendering
Rendering lists and using keys
Event handling
Controlled and uncontrolled inputs
Forms and validation
Reusable components
Lifting state up
Context API
Custom hooks
Component lifecycle concepts
Error boundaries
Separation of concerns
React performance fundamentals

What you'll build

  • Create reusable components for employee cards, tables, search fields, status badges, pagination controls, and employee forms.
By the end: A developer should be able to create a component-based frontend that can be extended without duplicating large amounts of code.

Develop multi-page business applications with consistent navigation, professional forms, and reusable interface components.

Topics covered

Client-side routing
Nested routes and layout components
Route parameters
Query parameters
Protected routes
Navigation and redirects
pages
Form state management
Form validation
Field-level and form-level error messages
Dynamic forms
Search, filtering, sorting, and pagination
Modal dialogs and confirmation messages
Toast notifications
Loading, empty, and error states
Responsive layouts
UI consistency and design systems

What you'll build

  • Create separate pages for login, dashboard, employee listing, employee details, add employee, edit employee, and access-denied handling.
By the end: A developer should be able to build a consistent multi-page frontend with clear navigation, robust forms, and predictable user interactions.

Connect React applications to backend APIs and handle server data reliably.

Topics covered

REST API integration
Fetch API and Axios
GET, POST, PUT, PATCH, and DELETE requests
JSON request and response handling
API service-layer organisation
Environment variables for frontend configuration
Loading and error states
Network failures and retry behaviour
Authentication-aware requests
Pagination, filtering, and sorting through APIs
Avoiding unnecessary duplicate requests
Server-state caching and invalidation
Optimistic updates where appropriate
Handling stale data
Cancellation of requests
API error messages and user-friendly feedback

What you'll build

  • Connect the employee listing page to backend endpoints. Implement employee search, pagination, creation, updating, deletion, loading indicators, and error handling.
By the end: A developer should be able to connect frontend components to real backend services without scattering API logic throughout the application.

Build a structured backend that processes client requests, applies business rules, and communicates with the database.

Topics covered

Node.js
Node.js runtime
npm and package management
CommonJS and ES modules
Event loop fundamentals
Asynchronous programming
Promises and async/await
File and environment configuration
Error handling
Process and server lifecycle basics
Express.js
Express application setup
Routing
Route parameters and query parameters
Middleware
Request and response objects
Controllers
Service-layer separation
Input validation
Centralised error handling
handling
Logging middleware
Configuration by environment
Graceful shutdown
API versioning fundamentals
Project Structure
Routes
Controllers
Services
Repositories or data-access layer
Validators
Middleware
Configuration
Utilities
Tests

What you'll build

  • Build an Express backend with separate route, controller, service, and data-access layers for employee management.
By the end: A developer should be able to build a maintainable backend where routing, business logic, validation, and database operations are clearly separated.

Design consistent, predictable, and documented APIs suitable for frontend integration and external client consumption.

Topics covered

REST architectural principles
Resource-oriented URL design
HTTP method selection
HTTP status code conventions
Request and response structures
Request validation
Consistent error response formats
Pagination, sorting, and filtering
Search endpoints
API versioning
Idempotency concepts
Rate limiting
API compatibility
Backward-compatible changes
Date, time, and timezone handling
API contract design
OpenAPI specifications
API deprecation practices
Example Endpoint Design
`GET /api/v1/employees`
`GET /api/v1/employees/:id`
`POST /api/v1/employees`
`PATCH /api/v1/employees/:id`
`DELETE /api/v1/employees/:id`

What you'll build

  • Design and document the employee API, including request schemas, successful responses, validation errors, authentication requirements, and status codes.
By the end: A developer should be able to build APIs that frontend developers, QA engineers, and external consumers can integrate with confidently.

Design a reliable relational database that supports business requirements, data integrity, and future application growth.

Topics covered

Relational database concepts
Tables, rows, and columns
Primary and foreign keys
Data types
Constraints
One-to-one, one-to-many, and many-to-many relationships
Entity Relationship Diagrams (ERDs)
Database normalisation
One-to-many relationship modelling
Junction tables
Unique constraints
NOT NULL and CHECK constraints where supported
Default values
Audit columns
Soft deletion versus permanent deletion
Created-at and updated-at timestamps
Data retention considerations
Schema design for employee, department, and role records

What you'll build

  • Design a database for an Employee Management System with employees, departments, roles, permissions, and leave requests.
By the end: A developer should be able to create a well-structured relational schema with clear relationships and data integrity rules.

Write correct SQL queries and improve database performance for real business workloads.

Topics covered

SELECT, INSERT, UPDATE, and DELETE
WHERE, ORDER BY, and LIMIT
Aggregate functions
GROUP BY and HAVING
INNER JOIN, LEFT JOIN, and other relevant joins
Subqueries
Common Table Expressions where appropriate
Window functions
Transactions
ACID properties
Indexes and composite indexes
Unique indexes
EXPLAIN and query execution plans
Avoiding unnecessary full-table scans
Pagination strategies
Avoiding N+1 query patterns
Connection pooling
Deadlocks and transaction retries
Data integrity and concurrent updates
Safe query parameterisation

What you'll build

  • Write SQL queries for employee search, department-wise counts, leave summaries, salary reports, and paginated employee listings. Use EXPLAIN to investigate a slow query and improve it.
By the end: A developer should be able to write efficient queries and identify common causes of slow database operations.

Connect Node.js to MySQL safely and manage database changes throughout the software lifecycle.

Topics covered

MySQL connectivity from Node.js
Connection pooling
Database configuration
Parameterised queries
ORM fundamentals
Prisma ORM or Sequelize ORM
Model and schema definitions
Relationships and associations
CRUD operations
Transactions
Data-access layer organisation
Migration files
Version-controlled schema changes
Seed data
Development, testing, and production database separation
Migration rollback and recovery planning
Connection errors and timeouts
Data-access testing
Handling concurrent operations

What you'll build

  • Connect the Express backend to MySQL. Implement employee CRUD operations, foreign-key relationships, migrations, seed data, and transactional handling for a multi-step business operation.
By the end: A developer should be able to integrate the database with the backend while keeping schema changes controlled, repeatable, and safe.

Protect business applications by verifying user identities and controlling access to sensitive operations.

Topics covered

Authentication versus authorisation
User registration and login
Secure password hashing
Password reset workflows
Session-based authentication
JWT-based authentication and its trade-offs
Access tokens and refresh-token handling
Secure cookie configuration
Role-Based Access Control (RBAC)
Permissions and resource ownership
Protected React routes
Backend authorisation middleware
Account lockout and login throttling
Multi-factor authentication concepts
Session expiry and logout
Secure token storage considerations
Audit trails for privileged operations

What you'll build

  • Implement login and logout for employee, manager, and administrator roles. Restrict employee records and administrative actions according to permissions.
By the end: A developer should be able to implement authentication and enforce permissions on the server, rather than relying only on frontend route protection.

Develop applications that protect client data and reduce common web application vulnerabilities.

Topics covered

OWASP Top 10 awareness
Input validation and output encoding
SQL injection prevention
Cross-Site Scripting (XSS)
Cross-Site Request Forgery (CSRF)
Broken access control
Secure authentication and session management
CORS configuration
Security headers
Rate limiting and abuse prevention
Password and secret management
Secure error handling
Dependency vulnerability checks
File-upload validation and storage controls
Sensitive-data exposure
Logging without leaking credentials or personal information
Data encryption in transit
Database least-privilege access
Threat modelling
Security review before release

What you'll build

  • Review the application for SQL injection, insecure access controls, exposed secrets, overly permissive CORS, and unsafe error responses. Fix the issues and verify the changes with tests.
By the end: A developer should understand secure coding practices and recognise common risks before an application reaches production.

Verify that individual components, backend services, and complete application workflows behave correctly.

Topics covered

Unit Testing
Testing individual functions
Testing React components
Mocking dependencies
Testing validation rules
Testing error conditions
Integration Testing
API endpoint testing
Database interaction testing
Authentication and authorisation tests
Transaction and error-path testing
Isolated test databases
End-to-End Testing
Login and logout
Employee creation and editing
Form validation
Search and pagination
Role-based access
Error handling
Browser compatibility checks
Testing Standards
Test cases and expected results
Boundary-value testing
Negative testing
Regression testing
Test data management
Flaky-test investigation
Coverage interpretation
Testing acceptance criteria

What you'll build

  • Write tests for employee creation, duplicate employee identifiers, invalid input, unauthorised access, database failures, and a complete browser-based employee creation workflow.
By the end: A developer should be able to create repeatable tests that catch defects before code is merged or released.

Use version control and collaborative workflows to maintain code quality and coordinate development across a team.

Topics covered

Git fundamentals
Repository setup
Staging, committing, and pushing changes
Branching strategies
Feature branches
Pull requests and merge requests
Code reviews
Merge conflicts
Rebasing versus merging
Commit-message conventions
Branch protection rules
Review approvals
Release tags
Reverting changes
Resolving accidental commits
Secret prevention
Managing code ownership
Linking code changes to work items
Repository permissions

What you'll build

  • Create feature branches for employee CRUD, authentication, and reporting. Submit pull requests, review changes, resolve a merge conflict, and merge approved code into the main branch.
By the end: A developer should be able to contribute safely to a shared repository and follow a professional review-and-merge process.

Structure applications so that multiple developers can extend, test, and maintain them over time.

Topics covered

Separation of concerns
Single Responsibility Principle
SOLID principles where applicable
Component reusability
Backend layering
Dependency management and injection concepts
Service and repository patterns
Error-handling conventions
Naming and coding standards
Avoiding duplicated code
Refactoring techniques
Technical debt
Configuration management
Avoiding overengineering
Modular monolith architecture
When to consider microservices
API and database boundaries
Architecture Decision Records (ADRs)
Code review checklists

What you'll build

  • Refactor a large Express controller into route, validation, service, and data-access layers. Refactor duplicated React form logic into reusable components or hooks.
By the end: A developer should be able to improve maintainability without introducing unnecessary architectural complexity.

Manage application configuration consistently across local development, testing, staging, and production.

Topics covered

Development, testing, staging, and production environments
Environment variables
Frontend and backend configuration
Database connection settings
API base URLs
Secret management
Configuration validation at startup
Feature flags
Environment-specific logging
Avoiding hardcoded credentials
Managing configuration changes
Safe handling of `.env` files
Secret rotation
Least-privilege service credentials
Configuration documentation
Separating build-time and runtime configuration

What you'll build

  • Configure local, testing, and staging environments with separate database credentials. Ensure secrets are excluded from source control and validate required configuration at application startup.
By the end: A developer should be able to configure applications safely without accidentally exposing credentials or mixing development and production resources.

Create consistent application environments that reduce differences between developer machines and deployment systems.

Topics covered

Containerisation fundamentals
Images and containers
Dockerfiles
Docker image layers
Build context and `.dockerignore`
Multi-stage builds
Running Node.js applications in containers
Container networking
Persistent volumes
Docker Compose
Container environment variables
MySQL container configuration
Health checks
Non-root containers
Image size optimisation
Container logs
Restart behaviour
Development versus production configurations
Container security basics

What you'll build

  • Containerise the React application, Express backend, and MySQL database. Use Docker Compose to start the services and document the commands needed to run the application.
By the end: A developer should be able to run the full application stack consistently and prepare containers for automated deployment.

Automate the steps required to validate, package, and prepare code for deployment.

Topics covered

Continuous Integration and Continuous Delivery/Deployment
Pipeline stages
Dependency installation
Linting and formatting checks
Type checking
Unit and integration tests
Production builds
Test coverage reporting
Dependency vulnerability checks
Docker image building
Artifact management
Environment-specific deployment
Protected production deployments
Approval gates
Pipeline secrets
Failed pipeline investigation
Build reproducibility
Release tagging
Rollback planning

What you'll build

  • Create a pipeline that runs linting, TypeScript checks, tests, and production builds on pull requests. Configure an approved deployment workflow with protected production approvals.
By the end: A developer should understand how teams automate quality checks and deliver repeatable releases without relying entirely on manual steps.

Deploy full-stack applications to an appropriate hosting environment and manage releases safely.

Topics covered

Hosting options and deployment architecture
Frontend static hosting
Backend application hosting
Managed MySQL services
Domain names and DNS
HTTPS and TLS certificates
Reverse proxies and load balancing concepts
Application and database networking
Firewall rules and access restrictions
Production environment variables
Database migrations during release
Health and readiness checks
Deployment strategies
Rolling and blue-green deployment concepts
Backup and recovery
Rollback procedures
Release approvals
Smoke testing
Post-deployment verification
Cost awareness and resource sizing

What you'll build

  • Deploy the React frontend and Express backend to a test environment with a managed or securely hosted MySQL database. Configure HTTPS, secrets, health checks, and a rollback procedure.
By the end: A developer should be able to participate in a controlled deployment and verify that the application is functioning after release.

Maintain application reliability and diagnose problems after the application has been deployed.

Topics covered

Application logging
Structured logs
Log levels
Request and correlation IDs
Error tracking
Health endpoints
Application metrics
Database performance monitoring
Response-time analysis
Uptime and availability
Alerts and notification rules
Incident severity
Incident investigation
Root-cause analysis
Post-incident reviews
Backup verification
Database recovery
Dependency updates
Production bug fixes
Maintenance windows
Service-level indicators and objectives
Operational runbooks

What you'll build

  • Simulate a backend error and a slow database query. Use logs and metrics to identify the cause, apply a fix, verify recovery, and write a short incident report.
By the end: A developer should be able to investigate production problems methodically and help maintain application reliability.

Improve application responsiveness and prepare the system to handle realistic user traffic and data volumes.

Topics covered

Frontend Performance
Bundle-size analysis
Code splitting
Lazy loading
Avoiding unnecessary re-renders
Efficient table rendering
Image optimisation
Caching static assets
Network request reduction
Backend Performance
Profiling slow endpoints
Efficient asynchronous processing
Avoiding blocking operations
Response compression where appropriate
Pagination and bounded queries
Connection pooling
Caching strategy
Timeouts and retry policies
Rate limiting
Handling concurrent requests
Database Performance
Index design
Query plans
Slow-query investigation
Connection limits
Transaction duration
Lock contention
Backup and recovery planning
Reliability
Load testing
Stress testing
Graceful degradation
Failure handling
Capacity planning
Horizontal versus vertical scaling
Availability and recovery objectives

What you'll build

  • Load-test employee search and reporting endpoints using realistic test data. Identify bottlenecks and compare response times before and after optimisation.
By the end: A developer should be able to measure performance, identify bottlenecks, and implement evidence-based improvements.

Apply the complete technology stack and corporate engineering workflow to deliver a working client-style application.

Topics covered

By the end: Deliverable 1: Requirement Documentation Business problem Scope and exclusions Functional requirements Non-functional requirements User stories Acceptance criteria Deliverable 2: Design and Architecture High-level architecture diagram Database ER diagram Frontend component structure Backend module structure API endpoint specification Authentication and authorisation design Deliverable 3: Working Application React frontend Express backend MySQL database Authentication and role-based permissions Required business workflows Input validation and error handling Deliverable 4: Quality Assurance Unit tests Integration tests End-to-end tests Test results Defect tracking Security review Performance test results for selected workflows Deliverable 5: DevOps and Deployment Source repository Branch and pull-request workflow Docker configuration CI/CD pipeline Staging deployment Environment configuration Database migration procedure Release and rollback instructions Deliverable 6: Handover Documentation README and setup instructions Architecture overview API documentation Database documentation Known limitations Maintenance guide Production support runbook Demonstration for stakeholders

Program 4 — Leveraging AI for 10× Faster Software Development (29 modules)

29 hands-on modules that take you through the complete development lifecycle — from requirement gathering to deployment — using AI coding tools at every stage. All premium tools (ChatGPT-4, Gemini Advanced, GitHub Copilot, Cursor, and more) are configured free on your laptop. Value: ₹15,000+. You use them throughout the program, not just here — and they stay yours.

Learn to write effective prompts that help AI accelerate frontend development, backend implementation, database operations, API integration, debugging, and testing.

Topics covered

Fundamentals of prompt engineering for full stack development.
Writing role-based prompts for frontend developers, backend developers, and software architects.
Generating HTML, CSS, JavaScript, React, and backend code using AI.
Writing prompts for REST API development and database integration.
Using AI to generate reusable components and functions.
Refining AI-generated code through iterative prompts.
Providing project requirements, coding standards, and technical constraints as prompt context.
Reviewing AI-generated code for correctness, security, readability, and maintainability.

What you'll build

  • Create reusable prompts for common frontend and backend development tasks.
  • Generate a responsive login page using HTML, CSS, and JavaScript.
  • Ask AI to create a backend endpoint and explain how it works.
  • Improve an initial prompt to generate cleaner, reusable, and maintainable code.
By the end: Create effective prompts for different stages of full stack development. Reduce repetitive coding and code-searching effort. Use AI as a coding assistant while retaining control over implementation and quality.

Learn how AI can analyze an existing full stack project's codebase, folder structure, dependencies, APIs, and database configuration to build project context and accelerate development.

Topics covered

Understanding frontend, backend, and database project structures.
Using AI to analyze existing source files and dependencies.
Understanding component relationships and application workflows.
Identifying backend routes, controllers, services, and database models.
Analyzing API endpoints and frontend-backend integration.
Generating project summaries and setup documentation.
Creating reusable project-context documents for AI coding tools.
Maintaining context when working with large codebases.
Avoiding exposure of passwords, API keys, and confidential project data.

What you'll build

  • Provide a sample full stack project structure and ask AI to explain each folder.
  • Analyze a React frontend and identify how it communicates with the backend.
  • Examine backend routes and database models to understand application functionality.
  • Generate a project overview containing the technology stack, dependencies, API endpoints, and setup steps.
By the end: Understand unfamiliar codebases more quickly. Reduce time spent manually exploring files and dependencies. Help AI generate code that fits the existing project structure rather than creating disconnected solutions.

Learn how AI can analyze a Software Requirements Specification (SRS) and convert business requirements into actionable frontend, backend, database, API, security, and testing requirements.

Topics covered

Understanding SRS documents for web applications.
Extracting functional and non-functional requirements.
Identifying user roles, permissions, and application workflows.
Mapping requirements to frontend screens and reusable components.
Identifying backend services, business logic, and API requirements.
Extracting database entities, relationships, and data-validation rules.
Identifying authentication, authorization, and security requirements.
Detecting missing, ambiguous, or conflicting requirements.
Generating requirement traceability matrices and development checklists.

What you'll build

  • Analyze an SRS for an employee management web application.
  • Extract frontend screens, backend features, and database entities.
  • Generate an API requirements list based on the application workflows.
  • Identify missing validation, authorization, error-handling, and testing requirements.
  • Create a requirement-to-module mapping for implementation.
By the end: Convert lengthy SRS documents into structured development tasks. Identify missing requirements before coding begins. Reduce manual analysis effort and improve alignment between requirements and implementation.

Learn how AI can convert an SRS into a Product Requirements Document (PRD) that defines application features, user workflows, frontend and backend responsibilities, data requirements, and acceptance criteria.

Topics covered

Understanding the differences between SRS and PRD.
Extracting business objectives and user needs from an SRS.
Defining application features and user journeys.
Documenting frontend screens, forms, components, and navigation.
Defining backend functionality and API expectations.
Identifying database entities and data-management requirements.
Documenting authentication, authorization, validation, and error handling.
Defining measurable acceptance criteria for application features.
Generating feature priorities and implementation milestones.
Reviewing AI-generated PRDs against the original SRS.

What you'll build

  • Convert an SRS for a student management system into a structured PRD.
  • Define user roles, application screens, and major features.
  • Generate acceptance criteria for login, student registration, record updates, and search.
  • Create a feature-wise implementation plan covering frontend, backend, and database tasks.
  • Compare the generated PRD with the original SRS to identify missing requirements.
By the end: Generate structured PRDs more quickly. Establish a clear connection between business requirements and technical implementation. Reduce repetitive documentation and planning work. Give developers a clearer roadmap before implementation begins.

Learn how AI can identify unclear application requirements and generate relevant questions to clarify features, workflows, user roles, integrations, and business rules with clients.

Topics covered

Identifying ambiguous or incomplete requirements.
Generating client clarification questions from SRS and PRD documents.
Clarifying user roles, permissions, and authentication needs.
Understanding application workflows and business rules.
Gathering requirements for forms, validation, search, filters, and reporting.
Clarifying database records, relationships, and data-retention needs.
Identifying third-party integrations and API dependencies.
Clarifying performance, responsiveness, accessibility, and security expectations.
Preparing client meeting agendas and requirement-confirmation documents.

What you'll build

  • Analyze an employee management application requirement and generate clarification questions.
  • Prepare client questions for a web application with administrator and employee roles.
  • Identify missing details about registration, password recovery, approvals, and reporting.
  • Generate a client requirement checklist and meeting summary.
  • Convert confirmed answers into updated development tasks.
By the end: Identify missing business rules before development begins. Reduce misunderstandings between clients and developers. Minimize avoidable rework caused by unclear requirements. Improve the accuracy of frontend, backend, and database implementation.

Learn how AI can assist in designing full stack application architectures, selecting suitable technologies, defining component responsibilities, planning APIs and databases, and generating initial implementation structures.

Topics covered

Fundamentals of full stack application architecture.
Understanding frontend, backend, database, and integration layers.
Selecting suitable technology stacks based on project requirements.
Designing reusable frontend components and application state flows.
Defining backend controllers, services, routes, and business logic.
Designing REST APIs and request-response structures.
Creating database schemas, relationships, and constraints.
Generating architecture diagrams and project folder structures.
Planning authentication, authorization, input validation, and error handling.
Evaluating scalability, maintainability, performance, and security.
Generating initial code scaffolding using AI.
Reviewing architecture recommendations for technical feasibility and project suitability.

What you'll build

  • Design a full stack architecture for an employee management system.
  • Ask AI to recommend an appropriate frontend, backend, and database stack.
  • Generate a project folder structure and define responsibilities for each layer.
  • Design API endpoints and a database schema for employee records.
  • Generate an architecture diagram and initial code scaffolding.
  • Review the design for security, maintainability, scalability, and integration risks.
By the end: Create full stack architecture proposals more efficiently. Accelerate project setup and initial code generation. Establish clear boundaries between frontend, backend, and database responsibilities. Produce architecture documents, API specifications, database designs, and implementation plans for review.

Enable AI to help developers understand client requirements, identify missing information, and convert business expectations into clear technical tasks before development begins.

Topics covered

Analysing client-provided SRS, PRD, business documents, and project descriptions using approved AI assistants.
Extracting functional and non-functional requirements.
Identifying user roles, permissions, workflows, and business rules.
Converting requirements into React frontend, Node.js backend, and MongoDB database tasks.
Identifying missing requirements, contradictions, assumptions, and technical dependencies.
Generating user stories and acceptance criteria.
Breaking large requirements into smaller development tasks.
Identifying requirements that affect security, performance, scalability, and deployment.
Maintaining traceability between requirements, code changes, and test cases.
AI-Assisted Engineering Workflow
The developer provides the approved project requirements and asks AI to analyse the document, identify ambiguities, map requirements to the full-stack architecture, and prepare an implementation checklist. The developer validates the analysis with the project team before development starts.

What you'll build

  • Given a client requirement for an employee management application, use AI to identify the required React screens, Node.js APIs, MongoDB collections, authentication rules, and acceptance criteria.
By the end: Developers should spend less time manually interpreting lengthy requirements and more time implementing the correct features with fewer misunderstandings and less rework.

Use AI to help developers convert project requirements into an organised, implementation-ready development plan.

Topics covered

Analysing project scope and feature dependencies.
Breaking features into frontend, backend, database, testing, and deployment tasks.
Identifying parallel development opportunities.
Estimating implementation complexity and technical risks.
Identifying dependencies between React components and Node.js APIs.
Planning MongoDB schema design and data migration tasks.
Creating sprint tasks and implementation checklists.
Identifying reusable components and shared utilities.
Prioritising tasks according to business value and technical dependencies.
Generating definition-of-done checklists.
AI-Assisted Engineering Workflow
AI analyses the feature list and generates a proposed task breakdown, dependencies, risks, and implementation sequence. Developers review the plan, adjust estimates, assign responsibilities, and track progress through the company's approved project management system.

What you'll build

  • Break down an online shopping application into frontend development, backend APIs, product and order databases, authentication, payment integration, testing, and deployment tasks.
By the end: Developers should be able to start implementation with a clearer plan, reduce task ambiguity, identify dependencies earlier, and avoid unnecessary development work.

Use AI to help developers understand unfamiliar or large codebases faster, reducing the time required to locate relevant files and understand existing behaviour.

Topics covered

Analysing repository structure.
Understanding React component hierarchies.
Tracing frontend API calls to Node.js routes and controllers.
Understanding backend services and middleware.
Mapping API endpoints to MongoDB collections and queries.
Identifying shared utilities and reusable modules.
Locating business logic across multiple files.
Understanding dependencies and configuration.
Identifying duplicate implementations and technical debt.
Analysing existing tests and development workflows.
Understanding the impact of proposed changes.
AI-Assisted Engineering Workflow
The developer asks AI to inspect the relevant repository files and explain how a particular feature works from the user interface to the database.
AI prepares a component-to-API-to-database map and identifies the files most likely to require modification. The developer verifies the findings against the actual repository.

What you'll build

  • In an existing application, trace the complete employee registration flow from the React form through the Node.js API to MongoDB and back to the user interface.
By the end: Developers should be able to understand existing projects faster and make targeted changes without repeatedly searching through unrelated files or duplicating existing functionality.

Accelerate frontend development by using AI to assist with React components, page structures, reusable UI elements, and application workflows.

Topics covered

Generating React functional components.
Creating reusable components from existing design patterns.
Implementing forms, tables, dashboards, and navigation.
Developing component properties and state management.
Using React hooks appropriately.
Implementing conditional rendering.
Managing loading, error, empty, and success states.
Creating reusable form validation logic.
Implementing pagination, filtering, and sorting interfaces.
Identifying unnecessary re-renders.
Refactoring duplicated UI code.
Maintaining component accessibility and responsiveness.
Generating component tests.
AI-Assisted Engineering Workflow
Developers provide the feature requirement, existing component patterns, API contract, and design constraints. AI generates or updates the relevant React components and supporting logic.
The developer reviews the output, runs the application, validates the UI, and checks that the component follows the existing design and state-management conventions.

What you'll build

  • Develop an employee listing page with search, pagination, filtering, loading indicators, error handling, and employee details using AI assistance.
By the end: Developers should reduce repetitive UI implementation time while maintaining reusable components, consistent behaviour, and readable code.

Use AI to help developers organise frontend state and data flows while avoiding unnecessary complexity.

Topics covered

Understanding local component state.
Using React Context where appropriate.
Evaluating Redux Toolkit or other state-management libraries when required.
Managing server state and API responses.
Implementing loading and error states.
Avoiding duplicated state.
Handling asynchronous operations.
Managing authentication state.
Preventing stale data and race conditions.
Structuring components, hooks, services, and utilities.
Identifying unnecessary prop drilling.
Refactoring complex components.
Analysing state-related bugs.
AI-Assisted Engineering Workflow
AI examines the existing frontend architecture and recommends the simplest appropriate state-management approach for the feature. It can propose custom hooks, refactor repeated logic, and generate tests for state transitions.
The developer validates the proposed design against the existing application rather than introducing a new library for every problem.

What you'll build

  • Improve a dashboard that contains repeated API calls, duplicated loading logic, and inconsistent error handling. Use AI to identify the duplication and implement a reusable solution.
By the end: Developers should implement frontend features faster while maintaining predictable state management and reducing unnecessary complexity.

Accelerate the integration of React applications with Node.js APIs and reduce errors caused by mismatched request and response formats.

Topics covered

Analysing API specifications.
Creating reusable API client utilities.
Integrating REST APIs with React.
Managing request and response formats.
Handling authentication tokens.
Implementing request cancellation where appropriate.
Handling API errors consistently.
Managing loading and success states.
Implementing pagination and filtering.
Handling expired sessions and unauthorised responses.
Validating frontend and backend contracts.
Generating mock API responses.
Creating API integration tests.
Identifying frontend-backend contract mismatches.
AI-Assisted Engineering Workflow
The developer provides the backend API contract and the existing frontend architecture. AI helps generate the API service functions, data handling logic, error handling, and integration tests.
It can also compare frontend expectations with backend responses to identify inconsistencies before they become production defects.

What you'll build

  • Integrate a React employee management interface with Node.js APIs for creating, retrieving, updating, and deleting employee records.
By the end: Developers should reduce integration time and avoid common errors involving request payloads, response formats, authentication, and error handling.

Accelerate backend feature implementation by using AI to assist with Node.js routes, controllers, services, middleware, and business logic.

Topics covered

Understanding Node.js application architecture.
Creating REST API endpoints.
Structuring routes, controllers, services, and repositories.
Implementing asynchronous operations.
Handling promises and exceptions.
Building reusable middleware.
Validating request parameters and payloads.
Implementing business rules.
Managing configuration through environment variables.
Handling application errors consistently.
Implementing structured logging.
Preventing duplicated business logic.
Improving code readability and maintainability.
Generating unit tests for backend services.
AI-Assisted Engineering Workflow
AI examines the existing backend structure and creates a proposed implementation plan before generating or modifying code. It follows the existing routing, validation, error-handling, and testing patterns.
The developer reviews the code, checks edge cases, executes tests, and verifies the implementation against the acceptance criteria.

What you'll build

  • Implement a Node.js employee management API with CRUD operations, input validation, service-layer business logic, consistent errors, and automated tests.
By the end: Developers should implement backend features more efficiently while maintaining consistency, testability, and maintainable application architecture.

Use AI to assist developers in designing MongoDB data models, improving queries, and identifying performance problems.

Topics covered

Document-oriented data modelling.
Collections and documents.
Embedding versus referencing.
Schema validation.
MongoDB indexes.
Query filters and projections.
Aggregation pipelines.
Pagination strategies.
Sorting and filtering.
Data relationships.
Query execution plans.
Index selection.
Avoiding unnecessary database operations.
Handling large collections.
Data migration planning.
Connection pooling.
Transactions where required.
Query performance measurement.
AI-Assisted Engineering Workflow
Developers provide the relevant data model, sample query, expected access patterns, and performance requirements. AI proposes possible schema or query improvements and explains the trade-offs.
Developers validate the proposals using realistic data, MongoDB execution statistics, and performance tests before adopting the changes.

What you'll build

  • Analyse a slow employee search API. Use AI to review the MongoDB query, recommend appropriate indexes, and compare query execution before and after the changes.
By the end: Developers should be able to improve database performance and make data-model decisions faster without accepting unverified AI-generated recommendations.

Enable developers to implement complete business features across React, Node.js, and MongoDB with AI assistance while maintaining end-to-end consistency.

Topics covered

Converting requirements into full-stack implementation plans.
Mapping user interactions to API endpoints.
Mapping APIs to business logic and database operations.
Coordinating frontend and backend development.
Maintaining consistent data structures.
Implementing validation across application layers.
Handling error states end to end.
Reusing existing components and services.
Managing feature dependencies.
Generating tests for the complete feature.
Reviewing changes across multiple files.
Maintaining backward compatibility.
Updating documentation.
AI-Assisted Engineering Workflow
For a requested feature, AI analyses the existing project and proposes changes across the frontend, backend, and database layers.
The developer reviews the plan, implements the feature incrementally, validates the API contract, runs tests, and confirms that the complete user workflow works correctly.

What you'll build

  • Implement a complete leave management feature:
  • React form for leave applications.
  • Node.js APIs for creating and retrieving requests.
  • MongoDB storage for leave records.
  • Validation and error handling.
  • Manager approval workflow.
  • Automated tests.
  • Updated API and project documentation.
By the end: Developers should reduce the coordination effort involved in full-stack changes and avoid incomplete implementations where one application layer is updated but the others are not.

Use AI to help developers identify the underlying causes of frontend, backend, database, and integration failures more quickly.

Topics covered

Analysing browser console errors.
Understanding React rendering and state errors.
Diagnosing failed network requests.
Investigating Node.js exceptions.
Debugging asynchronous code.
Identifying promise-handling issues.
Analysing API status codes.
Investigating MongoDB connection failures.
Identifying query and schema problems.
Analysing stack traces.
Reproducing bugs.
Forming and testing root-cause hypotheses.
Avoiding superficial fixes.
Generating regression tests.
Documenting the root cause and corrective action.
AI-Assisted Engineering Workflow
The developer provides relevant error messages, stack traces, code excerpts, reproduction steps, and logs with secrets and sensitive data removed.
AI identifies possible causes, ranks hypotheses, recommends diagnostic steps, and proposes fixes. The developer verifies the cause using debugging tools and tests the correction.

What you'll build

  • Investigate a defect where an employee record is created successfully in MongoDB but the React interface displays an error.
  • Use AI to trace the request-response flow and identify the actual problem.
By the end: Developers should spend less time guessing at possible causes and more time reproducing, diagnosing, and resolving defects using evidence.

Reduce the time required to create meaningful automated tests for React components, Node.js APIs, and MongoDB-backed application logic.

Topics covered

Unit testing.
Integration testing.
Component testing.
API testing.
Database integration testing.
Mocking external dependencies.
Test fixtures and factories.
Boundary-value testing.
Positive and negative test cases.
Authentication and authorisation tests.
Validation tests.
Error-handling tests.
Regression testing.
Test coverage analysis.
Identifying untested business rules.
Preventing brittle tests.
Technologies
Depending on the project's existing setup:
Vitest or Jest.
React Testing Library.
Supertest.
Node.js test runner.
MongoDB test environments or Testcontainers.
Playwright for browser-based end-to-end testing.
AI-Assisted Engineering Workflow
AI analyses the implementation and acceptance criteria, identifies relevant test scenarios, generates test cases, and proposes missing edge cases.
The developer executes the tests, verifies that assertions reflect actual requirements, and checks that tests fail when the corresponding functionality is broken.

What you'll build

  • Generate tests for an employee creation API, including valid requests, invalid email addresses, missing required fields, duplicate records, unauthorised access, and database failures.
By the end: Developers should be able to improve test coverage and detect defects earlier without spending excessive time writing repetitive test scaffolding.

Use AI to accelerate testing of complete user journeys across the React frontend, Node.js backend, and MongoDB database.

Topics covered

Understanding end-to-end test scenarios.
Browser automation.
User journey testing.
Form submission and validation.
Authentication and role-based workflows.
API and UI consistency.
Test data preparation.
Browser interaction failures.
Screenshot and trace analysis.
Regression testing.
Test stability.
Handling asynchronous UI updates.
Reducing flaky tests.
Testing critical business workflows.
Generating test reports.
Technologies
Playwright.
Cypress where appropriate.
React Testing Library.
API testing tools.
CI-compatible browser test environments.
AI-Assisted Engineering Workflow
AI converts acceptance criteria into proposed browser test scenarios, generates automation code, and helps diagnose failed tests by analysing traces, screenshots, logs, and assertions.
Developers review the generated scenarios and ensure the tests validate actual business behaviour rather than merely checking that a page loads.

What you'll build

  • Automate the complete employee registration workflow, including form validation, submission, database persistence verification, and display of the newly created employee record.
By the end: Developers and QA engineers should be able to create and maintain end-to-end tests more efficiently while increasing confidence in application releases.

Use AI to accelerate code reviews and identify maintainability, correctness, security, and performance issues before code reaches production.

Topics covered

Analysing pull requests.
Reviewing React component design.
Identifying duplicated logic.
Reviewing Node.js error handling.
Detecting asynchronous programming mistakes.
Identifying inefficient MongoDB queries.
Analysing unnecessary dependencies.
Reviewing API contract changes.
Identifying potential security vulnerabilities.
Checking naming and coding conventions.
Refactoring complex functions.
Improving separation of responsibilities.
Maintaining backward compatibility.
Reviewing test quality.
Distinguishing critical issues from stylistic suggestions.
AI-Assisted Engineering Workflow
AI reviews the code diff and reports potential defects, missing tests, security concerns, unnecessary complexity, and opportunities for improvement.
The developer evaluates each finding, verifies it against the code and project requirements, and applies only appropriate changes.

What you'll build

  • Review a pull request containing duplicated React logic, inconsistent Node.js error handling, an inefficient MongoDB query, and missing test cases.
  • Use AI to identify issues and prepare a prioritised review report.
By the end: Developers should improve code quality and reduce manual review effort without treating AI-generated review comments as automatically correct.

Integrate AI-assisted security analysis into full-stack development to identify vulnerabilities earlier and reduce the effort required to investigate and remediate them.

Topics covered

React security considerations.
Cross-site scripting risks.
Unsafe rendering and input handling.
Node.js API security.
Authentication and authorisation.
JWT and session-management considerations.
Input validation and sanitisation.
NoSQL injection risks.
Secure MongoDB queries.
CORS configuration.
Rate limiting.
Dependency vulnerabilities.
Secret detection.
Environment variable protection.
Secure error handling.
Security headers.
Logging sensitive data.
AI-assisted security code review.
Security testing and remediation validation.
AI-Assisted Engineering Workflow
AI reviews relevant code, API routes, configuration, and dependency reports to identify possible security weaknesses.
It proposes remediation options and security tests. Developers validate findings with appropriate scanners and manual review before merging the changes.

What you'll build

  • Review an authentication API and identify possible weaknesses involving password handling, access-control checks, exposed secrets, and unsafe database queries.
  • Implement corrections and test that unauthorised requests are rejected.
By the end: Developers should identify and resolve common security weaknesses earlier, reducing the cost and risk of fixing vulnerabilities after deployment.

Use AI to reduce repetitive work in version control, code collaboration, and change management while maintaining traceability and review discipline.

Topics covered

Git branching strategies.
Commit message generation.
Pull request descriptions.
Change summaries.
Merge conflict investigation.
Code-diff analysis.
Identifying unintended changes.
Reviewing dependency updates.
Release notes generation.
Linking code changes to requirements.
Pull request checklists.
Collaborative development.
Branch protection and approvals.
Version tagging.
Revert and rollback preparation.
AI-Assisted Engineering Workflow
AI summarises code changes, drafts meaningful commit messages, prepares pull request descriptions, and explains potential merge conflicts.
Developers verify the summaries and resolve conflicts themselves or with carefully reviewed assistance. Protected branches and required reviews remain in place.

What you'll build

  • Take a full-stack feature branch containing React, Node.js, and MongoDB changes. Use AI to prepare a pull request description, summarise modified files, identify potentially missing tests, and generate a release note.
By the end: Developers should spend less time preparing routine development documentation and more time reviewing and validating changes.

Accelerate the creation of consistent local and deployment environments for React, Node.js, and MongoDB applications.

Topics covered

Docker fundamentals.
React frontend containerisation.
Node.js backend containerisation.
MongoDB container usage for development and testing.
Dockerfiles.
Multi-stage builds.
Docker Compose.
Environment variable configuration.
Service networking.
Health checks.
Persistent storage for local development.
Container image optimisation.
Dependency installation and caching.
Development versus production configuration.
Container security.
Startup and connection failures.
Reproducible developer environments.
AI-Assisted Engineering Workflow
AI examines the repository and generates a proposed Dockerfile, Docker Compose configuration, and environment setup instructions based on the actual project structure.
The developer checks the configuration, builds the images, starts the services, and verifies that the frontend, backend, and database communicate correctly.

What you'll build

  • Containerise an existing full-stack application and configure the React frontend, Node.js API, and MongoDB development database to run together using Docker Compose.
By the end: Developers should reduce environment setup time and minimise configuration differences between team members.

Use AI to help developers create, understand, debug, and improve automated pipelines for building, testing, scanning, and delivering full-stack applications.

Topics covered

CI/CD fundamentals.
GitHub Actions, GitLab CI/CD, or the company's approved platform.
Automated frontend builds.
Node.js dependency installation.
Linting and type checking.
Unit and integration tests.
End-to-end tests.
Dependency and secret scanning.
Docker image builds.
Container registry integration.
Build artefact management.
Environment-specific configuration.
Deployment approvals.
Pipeline caching.
Pipeline failure diagnosis.
Release automation.
Rollback preparation.
Pipeline security.
AI-Assisted Engineering Workflow
AI examines the repository, package scripts, testing setup, deployment requirements, and existing pipeline configuration.
It drafts or updates pipeline steps, identifies missing quality gates, and helps diagnose failed builds. Developers verify the workflow in a controlled environment before enabling production deployment.

What you'll build

  • Create a CI pipeline that runs when code is pushed or a pull request is opened.
  • The pipeline should install dependencies, run linting, execute tests, build the React frontend and Node.js backend as applicable, and prevent merging when mandatory checks fail.
By the end: Developers should be able to establish reliable automated quality checks and reduce manual build and validation effort.

Accelerate the deployment of full-stack applications by using AI to assist with deployment planning, configuration, release verification, and troubleshooting.

Topics covered

Understanding deployment environments.
Development, staging, and production configuration.
Frontend deployment.
Node.js backend deployment.
MongoDB connectivity and access restrictions.
Managed hosting and cloud deployment options.
Environment variables and secrets.
Domain and TLS configuration.
Reverse proxies and load balancing where required.
Health checks.
Database migration planning.
Release validation.
Rolling deployments.
Blue/green and canary strategies where appropriate.
Rollback planning.
Deployment logs.
Post-deployment smoke tests.
Release documentation.
AI-Assisted Engineering Workflow
AI analyses the deployment requirements and current configuration, drafts the necessary deployment files or workflow changes, and prepares a release checklist.
Developers validate configuration, permissions, secrets, database connectivity, and rollback steps before approving the deployment.

What you'll build

  • Deploy a full-stack application to a staging environment using the company's approved hosting platform.
  • Automate the build and deployment steps, run post-deployment smoke tests, and verify that the frontend, API, and database work correctly.
By the end: Developers should reduce repetitive deployment work and improve consistency between environments while maintaining controlled release procedures.

Use AI to help developers identify production issues, interpret application telemetry, and accelerate troubleshooting without compromising incident-response discipline.

Topics covered

Application logging.
Structured logs.
React frontend error reporting.
Node.js runtime logs.
API latency and error rates.
MongoDB performance indicators.
Infrastructure monitoring.
Distributed tracing where appropriate.
Correlation IDs.
Log searching and filtering.
Error pattern detection.
Incident classification.
Root-cause investigation.
Deployment-related incidents.
Resource saturation.
Database connection issues.
Alert interpretation.
Incident reports.
Corrective and preventive actions.
AI-Assisted Engineering Workflow
AI analyses approved, redacted logs, metrics, traces, and deployment records to identify error patterns and propose likely causes.
The developer verifies each hypothesis using the actual monitoring platform, reproduces the issue when possible, and applies a tested correction.

What you'll build

  • Investigate a production incident in which the Node.js API begins returning intermittent errors while MongoDB response times increase.
  • Use AI to correlate the symptoms, propose diagnostic steps, and prepare a root-cause report based on verified evidence.
By the end: Developers should reduce the time spent searching through large volumes of telemetry and improve the speed and quality of incident investigation.

Accelerate the identification and resolution of frontend, backend, and database performance bottlenecks.

Topics covered

React rendering performance.
Unnecessary component re-renders.
Large frontend bundles.
Lazy loading and code splitting.
Browser performance analysis.
Node.js event-loop behaviour.
Asynchronous processing.
API response latency.
Database query profiling.
MongoDB index optimisation.
Pagination and large result sets.
Caching strategies.
Connection pooling.
Load testing.
Memory and CPU usage.
Horizontal scaling.
Queue-based processing where appropriate.
Performance regression testing.
Cost-performance trade-offs.
AI-Assisted Engineering Workflow
AI analyses performance measurements, relevant code, query plans, and application traces to identify possible bottlenecks.
It proposes targeted improvements, explains expected trade-offs, and helps create regression tests. Developers measure the results before accepting the optimisation.

What you'll build

  • Optimise a slow dashboard that loads thousands of records and performs expensive database queries.
  • Use AI to identify frontend and backend bottlenecks, improve pagination and query execution, and compare response times before and after the changes.
By the end: Developers should be able to locate performance problems faster and implement measurable improvements without relying on guesswork.

Use AI to accelerate dependency maintenance, framework upgrades, code modernisation, and the reduction of accumulated technical debt.

Topics covered

Analysing package.json and lockfiles.
Identifying outdated dependencies.
Reviewing dependency vulnerability reports.
Understanding breaking changes.
React and Node.js version compatibility.
MongoDB driver and ODM compatibility.
Dependency conflict investigation.
Framework upgrade planning.
Deprecated API identification.
Refactoring legacy code.
Removing unused dependencies.
Reducing duplicated utilities.
Updating tests after upgrades.
Migration scripts and compatibility checks.
Change impact analysis.
Regression testing.
Rollback planning.
AI-Assisted Engineering Workflow
AI reviews dependency reports, upgrade notes, and relevant source files to prepare a proposed upgrade plan.
It identifies potentially affected code, suggests migration changes, and helps generate tests. Developers verify compatibility, test the upgrade in a controlled environment, and review the final dependency changes.

What you'll build

  • Upgrade a project dependency with a breaking API change.
  • Use AI to identify affected files, propose the migration, update tests, and prepare a dependency-change report.
By the end: Developers should reduce the effort required for routine maintenance while avoiding unverified upgrades that could introduce application failures.

Reduce the time required to maintain technical documentation and repeatedly solve similar engineering problems across multiple projects.

Topics covered

Generating documentation from existing code.
Updating API documentation.
Creating architecture summaries.
Preparing README files.
Documenting environment setup.
Preparing deployment instructions.
Generating troubleshooting guides.
Creating release notes.
Preparing incident summaries.
Documenting known limitations.
Creating reusable project instructions.
Developing task-specific AI skills and workflows.
Maintaining shared engineering knowledge.
Reviewing generated documentation for accuracy.
Preventing outdated instructions.
Knowledge transfer between developers.
AI-Assisted Engineering Workflow
AI analyses approved source files, API definitions, configuration, and existing documentation to prepare draft updates.
The developer verifies the generated documentation against the implementation and maintains reusable instructions for frequently repeated tasks.
Examples of reusable engineering workflows include:
react-component-development
node-api-development
mongodb-query-review
fullstack-feature-implementation
test-generation
bug-investigation
dependency-upgrade-review
cicd-troubleshooting
release-readiness-review
production-incident-analysis
These are proposed custom workflow or skill names. Their actual implementation depends on the AI assistant and development environment being used.

What you'll build

  • Create a reusable AI-assisted workflow for implementing a full-stack feature. It should inspect the repository, identify relevant files, prepare a plan, implement changes, run tests, review the code diff, and update documentation.
By the end: Developers should avoid repeatedly performing the same analysis from scratch and establish consistent, reusable engineering workflows across projects.

Demonstrate how AI assistance can accelerate the delivery of a complete React, Node.js, and MongoDB application through development, testing, deployment, and operational handover.

Topics covered

By the end: Requirements summary, user stories, risk register, and implementation checklist.

Live client projects — 5+ across the program

Across the Career-Ready program you work on all real client projects, contributing to each at a level appropriate to your current skills. By the final project, you're working at near-professional capacity.

Live client project
APIVista — API Monitoring Dashboard

Real-time endpoint health checking, latency histogram tracking, error rate alerting, and uptime SLA reporting across environments.

React.jsNode.jsExpressPostgreSQLTailwind CSS
Live client project
WorkforceIQ — Employee Growth and Performance Intelligence

Skill matrix assessment, continuous appraisal workflows, goal tracking, and automated performance scorecards.

ReactNode.jsExpressMongoDBChart.js
Live client project
Intern Management and Evaluation Platform

Centralized tracking of intern submissions, mentor code reviews, attendance logs, and milestone completions.

React.jsTypeScriptExpressMySQLTailwind CSS
Live client project
Smart Office Access and Attendance System

Device access logging, geofenced clock-in, overtime calculation, shift scheduling, and admin reporting.

Next.jsNode.jsPostgreSQLRedisREST APIs
Live client project
Meeting and Action Item Management Platform

Agenda tracking, action item delegation, deadline reminders, meeting minutes archiving, and calendar sync.

ReactExpressMongoDBWebSocketsTailwind CSS
Live client project
Employee Project Allocation Platform

Resource demand forecasting, skill-based project assignment, utilization analytics, and bench cost optimization.

React.jsNode.jsExpressMySQLDocker

Everything included in your enrollment

✓
400+ live training hours — 5 hours daily, every weekday
✓
100+ Immersive VR sessions + Unlimited VR revision for up to 2 full years (exclusive flagship privilege)
✓
All 4 programs: internship + career course + industry projects + AI development
✓
AI tools configured on your laptop (ChatGPT-4, Gemini, Copilot, Cursor — value ₹15,000+)
✓
Internship + course certificate from WhiteandBox.com
✓
Offer letter — verified, 0 background check issues
✓
Letter of Recommendation (performance-based)
✓
LinkedIn profile building, portfolio guidance, and soft skills training
✓
Digital certificate with QR code verification
✓
Free access to client summits and webinars (with certificate)
✓
1:1 daily mentorship from senior developers
✓
Remote, hybrid, or in-office at Bangalore

Career-Ready Full Stack Web Development Flagship Program

400+ live hours · 4 complete programs · 70+ modules · Full placement support. The program serious developers choose when they want job outcomes, not just a certificate.

₹38,000
₹17,850
50% off · limited seats
You save ₹20,150 at current offer — includes AI tools worth ₹15,000+ configured free on your laptop