Automated Software Testing Internship — 1 Month
You'll learn core Automated Software Testing 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
🥽
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 Automated Software Testing modules
Understand software testing principles and learn to prepare structured test scenarios and test cases based on application requirements.
Topics covered
Introduction to software testing and quality assurance.
Manual testing versus automated testing.
Functional and non-functional testing.
Unit, integration, system, and acceptance testing.
Smoke, sanity, regression, and exploratory testing.
Software Development Life Cycle (SDLC).
Software Testing Life Cycle (STLC).
Defect lifecycle and defect reporting.
Test scenarios and test cases.
Positive and negative testing.
Boundary Value Analysis.
Equivalence Partitioning.
Basic test planning and test coverage.
What you'll build
- Analyze a sample login page.
- Write positive and negative login test cases.
- Prepare test scenarios for registration and search.
- Identify boundary cases for input fields.
- Document sample defects with steps to reproduce and expected versus actual results.
- Internship Assignment
- Prepare a test case document for a sample web application containing at least 20 test cases.
By the end: Interns will understand testing fundamentals and be able to prepare test cases, identify defects, and document testing requirements.
Learn the Python programming concepts required to develop automated test scripts and reusable testing utilities.
Topics covered
Python installation and environment setup.
Variables and data types.
Operators and conditional statements.
Loops.
Strings and string operations.
Lists, tuples, sets, and dictionaries.
Functions and arguments.
Exception handling.
File handling.
JSON and CSV data processing.
Classes, objects, and basic object-oriented programming.
Virtual environments.
Installing packages using pip.
What you'll build
- Write a Python function to validate a username and password.
- Use loops to validate multiple test inputs.
- Store test data in lists and dictionaries.
- Read test data from JSON and CSV files.
- Create reusable validation functions.
- Handle invalid inputs using exception handling.
- Internship Assignment
- Develop a Python utility program that reads test data from a file, validates the data, and produces a simple result summary.
By the end: Interns will be able to write basic Python programs and reusable functions for test automation.
Understand web page structure and learn to identify reliable elements for browser automation.
Topics covered
HTML fundamentals.
Elements, tags, and attributes.
Forms, buttons, links, tables, and input fields.
DOM fundamentals.
IDs, classes, names, and attributes.
CSS selectors.
XPath basics.
Relative XPath.
Text-based element identification.
Browser developer tools.
Inspecting web elements.
Identifying dynamic elements.
Accessible roles and labels.
Understanding element visibility and enabled states.
What you'll build
- Inspect a sample login page.
- Identify the locators for buttons and input fields.
- Write CSS selectors for form elements.
- Create XPath expressions for selected elements.
- Compare stable and fragile locator strategies.
- Internship Assignment
- Prepare a locator document for a sample web application containing at least 15 identified elements and their corresponding locator strategies.
By the end: Interns will be able to inspect web pages and identify appropriate locators for Selenium and Playwright scripts.
Develop automated browser scripts using Selenium WebDriver and Python to test common web application workflows.
Topics covered
Introduction to Selenium WebDriver.
Installing Selenium.
Browser setup and compatibility.
Launching and closing browsers.
Opening URLs and navigating pages.
Finding elements using locators.
Clicking buttons and links.
Entering and clearing text.
Handling dropdowns, checkboxes, and radio buttons.
Validating text and element attributes.
Handling alerts and frames.
Switching between browser windows.
Implicit and explicit waits.
Handling dynamic elements.
Basic assertions.
Capturing screenshots.
Common Selenium exceptions.
Browser cleanup.
What you'll build
- Automate a login workflow.
- Test valid and invalid login credentials.
- Automate a search form.
- Interact with dropdowns and checkboxes.
- Validate error messages.
- Use explicit waits for dynamic elements.
- Capture screenshots when failures occur.
- Internship Assignment
- Develop a Selenium automation suite for login, search, and form validation.
By the end: Interns will be able to write and execute Selenium scripts for common browser testing scenarios.
Learn to organize Selenium scripts into a reusable, maintainable Python automation framework.
Topics covered
Introduction to pytest.
Test functions and assertions.
Test discovery and execution.
Fixtures and setup/teardown.
Test parametrization.
Markers and test selection.
Introduction to Page Object Model (POM).
Creating page classes and test classes.
Reusable browser setup.
Separating locators from test logic.
Test data management.
Configuration files.
Logging and screenshots.
Framework folder structure.
Generating test reports.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and cleanup.
- Parameterize login tests with multiple input combinations.
- Create page objects for login and search.
- Move common actions into reusable functions.
- Generate a test execution report.
- Internship Assignment
- Build a small Selenium-Python framework using pytest and Page Object Model.
By the end: Interns will be able to develop structured, reusable, and maintainable Selenium automation frameworks.
Learn the JavaScript and Node.js fundamentals required to execute Playwright automation and understand basic backend endpoints used in testing.
Topics covered
JavaScript fundamentals
Variables, data types, and operators.
Conditions and loops.
Functions, arrays, and objects.
Promises and asynchronous programming.
`async` and `await`.
Error handling.
Node.js fundamentals
Introduction to Node.js.
Installing Node.js and npm.
Package management.
`package.json`.
Installing dependencies.
Running JavaScript programs.
Basic backend concepts
HTTP requests and responses.
Introduction to Express.js.
Basic API routes.
JSON responses.
Status codes.
Starting and testing a local API server.
Playwright introduction
Playwright installation.
Browser setup.
Browser, context, and page concepts.
Navigation and basic interactions.
Locators and assertions.
Automatic waiting.
What you'll build
- Write JavaScript functions for test data validation.
- Create a Node.js project using npm.
- Build a simple Express.js endpoint.
- Install Playwright.
- Automate a basic login or form workflow using Playwright.
- Validate the response from a sample backend endpoint.
- Internship Assignment
- Create a basic Playwright JavaScript project and automate at least three browser interactions.
By the end: Interns will understand the JavaScript and Node.js fundamentals needed for Playwright and basic API testing.
Develop maintainable Playwright test suites and learn advanced browser automation techniques.
Topics covered
Playwright Test runner.
Test files and configuration.
Assertions using `expect`.
Role-based, label-based, and text locators.
Fixtures and hooks.
Browser contexts and isolated sessions.
Test parametrization.
Form validation.
Handling dialogs and multiple tabs.
File uploads and downloads.
Screenshots and video recordings.
Playwright traces.
Network monitoring and response validation.
Authentication state.
Parallel execution and retries.
HTML reports.
Introduction to Playwright with Python.
Comparing Selenium and Playwright.
What you'll build
- Automate a multi-step form.
- Validate dynamic page content.
- Handle a new browser tab.
- Capture screenshots and traces.
- Generate an HTML test report.
- Automate a selected workflow using Playwright Python.
- Compare Selenium and Playwright implementations of the same scenario.
- Internship Assignment
- Develop a Playwright test suite covering login, navigation, form validation, and at least one advanced browser scenario.
By the end: Interns will be able to develop organized Playwright test suites and use its debugging and reporting features.
Learn to test APIs independently of the UI and perform basic data validation using automated scripts.
Topics covered
API testing
Introduction to APIs and REST.
HTTP methods: GET, POST, PUT, PATCH, and DELETE.
HTTP status codes.
Request headers and response bodies.
JSON data.
Query and path parameters.
Authentication basics.
Positive and negative API testing.
Exploring APIs using Postman.
Python Requests library.
API assertions using pytest.
Playwright API testing.
Response field validation.
Request timeouts and error handling.
Database validation
Introduction to SQL for testers.
SELECT queries and filtering.
Basic joins.
Validating application records.
Comparing API responses with database values.
Safe test data cleanup.
What you'll build
- Test sample API endpoints using Postman.
- Automate API requests using Python Requests.
- Validate status codes and response fields.
- Test invalid inputs and error responses.
- Create pytest-based API tests.
- Execute a Playwright API request.
- Validate sample records using SQL.
- Internship Assignment
- Develop an API automation suite with positive and negative tests and a short database validation exercise.
By the end: Interns will be able to automate API validation and perform basic database checks to verify application behavior.
Learn how to manage automation code using version control and configure introductory CI workflows to execute tests automatically.
Topics covered
Git and GitHub
Git fundamentals.
Creating and cloning repositories.
Commits and branches.
Pushing code to GitHub.
Pull requests.
Basic merge conflict resolution.
`.gitignore`.
README documentation.
Repository organization.
Reporting and debugging
Test execution summaries.
Pass/fail results.
Logging and screenshots.
pytest reports.
Playwright HTML reports.
Investigating failed tests.
Documenting defects.
GitHub Actions
Introduction to CI/CD.
Workflow files and YAML basics.
Workflow triggers.
Jobs and steps.
Installing Python or Node.js in CI.
Installing dependencies.
Running automated tests.
Environment variables and secrets.
Uploading reports as artifacts.
Understanding failed CI runs.
What you'll build
- Upload an automation project to GitHub.
- Create a branch and submit a pull request.
- Add a README with installation and execution instructions.
- Configure GitHub Actions to run pytest.
- Configure a separate Playwright workflow.
- Publish test reports as workflow artifacts.
- Debug a failed CI run.
- Internship Assignment
- Publish an automation project on GitHub and configure a GitHub Actions workflow that executes the test suite automatically.
By the end: Interns will be able to manage automation projects using GitHub and implement basic CI-based test execution.
Apply the concepts learned during the internship to deliver a complete, documented automated testing project for a realistic client application.
Topics covered
What you'll build
- Analyze the application and define testing scope.
- Prepare a test plan and test cases.
- Create Selenium automation scripts.
- Develop a Playwright test suite.
- Implement API tests.
- Organize the automation framework.
- Add configuration and test data management.
- Generate execution reports.
- Publish the project to GitHub.
- Configure GitHub Actions.
- Execute tests and resolve identified failures.
- Prepare final documentation and demonstrate the project.
By the end: Interns will demonstrate their ability to design, implement, execute, debug, and document an automation testing solution using industry-relevant tools.
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
E-Commerce Web Application End-to-End Automation Suite
Complete regression automation of product search, shopping cart, multi-step checkout, coupon validation, and session states.
Selenium WebDriverPythonpytestAllure ReportingGit
Live client project
Enterprise Employee Portal API & UI Validation Platform
Dual-layer testing verifying frontend forms alongside backend REST APIs, authentication tokens, and database integrity.
PlaywrightNode.jsRequestsPostgreSQLGitHub Actions
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 Automated Software Testing 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 Bangalore1-Month Automated Software Testing & QA Internship
Live sessions · Real project · Certificate and offer letter
₹5,000
₹2,500
50% off
1 month · live daily sessions
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.
Automated Software Testing Internship — 2 to 6 Months
The same core Automated Software Testing 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
🥽
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
Understand software testing principles and learn to prepare structured test scenarios and test cases based on application requirements.
Topics covered
Introduction to software testing and quality assurance.
Manual testing versus automated testing.
Functional and non-functional testing.
Unit, integration, system, and acceptance testing.
Smoke, sanity, regression, and exploratory testing.
Software Development Life Cycle (SDLC).
Software Testing Life Cycle (STLC).
Defect lifecycle and defect reporting.
Test scenarios and test cases.
Positive and negative testing.
Boundary Value Analysis.
Equivalence Partitioning.
Basic test planning and test coverage.
What you'll build
- Analyze a sample login page.
- Write positive and negative login test cases.
- Prepare test scenarios for registration and search.
- Identify boundary cases for input fields.
- Document sample defects with steps to reproduce and expected versus actual results.
- Internship Assignment
- Prepare a test case document for a sample web application containing at least 20 test cases.
By the end: Interns will understand testing fundamentals and be able to prepare test cases, identify defects, and document testing requirements.
Learn the Python programming concepts required to develop automated test scripts and reusable testing utilities.
Topics covered
Python installation and environment setup.
Variables and data types.
Operators and conditional statements.
Loops.
Strings and string operations.
Lists, tuples, sets, and dictionaries.
Functions and arguments.
Exception handling.
File handling.
JSON and CSV data processing.
Classes, objects, and basic object-oriented programming.
Virtual environments.
Installing packages using pip.
What you'll build
- Write a Python function to validate a username and password.
- Use loops to validate multiple test inputs.
- Store test data in lists and dictionaries.
- Read test data from JSON and CSV files.
- Create reusable validation functions.
- Handle invalid inputs using exception handling.
- Internship Assignment
- Develop a Python utility program that reads test data from a file, validates the data, and produces a simple result summary.
By the end: Interns will be able to write basic Python programs and reusable functions for test automation.
Understand web page structure and learn to identify reliable elements for browser automation.
Topics covered
HTML fundamentals.
Elements, tags, and attributes.
Forms, buttons, links, tables, and input fields.
DOM fundamentals.
IDs, classes, names, and attributes.
CSS selectors.
XPath basics.
Relative XPath.
Text-based element identification.
Browser developer tools.
Inspecting web elements.
Identifying dynamic elements.
Accessible roles and labels.
Understanding element visibility and enabled states.
What you'll build
- Inspect a sample login page.
- Identify the locators for buttons and input fields.
- Write CSS selectors for form elements.
- Create XPath expressions for selected elements.
- Compare stable and fragile locator strategies.
- Internship Assignment
- Prepare a locator document for a sample web application containing at least 15 identified elements and their corresponding locator strategies.
By the end: Interns will be able to inspect web pages and identify appropriate locators for Selenium and Playwright scripts.
Develop automated browser scripts using Selenium WebDriver and Python to test common web application workflows.
Topics covered
Introduction to Selenium WebDriver.
Installing Selenium.
Browser setup and compatibility.
Launching and closing browsers.
Opening URLs and navigating pages.
Finding elements using locators.
Clicking buttons and links.
Entering and clearing text.
Handling dropdowns, checkboxes, and radio buttons.
Validating text and element attributes.
Handling alerts and frames.
Switching between browser windows.
Implicit and explicit waits.
Handling dynamic elements.
Basic assertions.
Capturing screenshots.
Common Selenium exceptions.
Browser cleanup.
What you'll build
- Automate a login workflow.
- Test valid and invalid login credentials.
- Automate a search form.
- Interact with dropdowns and checkboxes.
- Validate error messages.
- Use explicit waits for dynamic elements.
- Capture screenshots when failures occur.
- Internship Assignment
- Develop a Selenium automation suite for login, search, and form validation.
By the end: Interns will be able to write and execute Selenium scripts for common browser testing scenarios.
Learn to organize Selenium scripts into a reusable, maintainable Python automation framework.
Topics covered
Introduction to pytest.
Test functions and assertions.
Test discovery and execution.
Fixtures and setup/teardown.
Test parametrization.
Markers and test selection.
Introduction to Page Object Model (POM).
Creating page classes and test classes.
Reusable browser setup.
Separating locators from test logic.
Test data management.
Configuration files.
Logging and screenshots.
Framework folder structure.
Generating test reports.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and cleanup.
- Parameterize login tests with multiple input combinations.
- Create page objects for login and search.
- Move common actions into reusable functions.
- Generate a test execution report.
- Internship Assignment
- Build a small Selenium-Python framework using pytest and Page Object Model.
By the end: Interns will be able to develop structured, reusable, and maintainable Selenium automation frameworks.
Learn the JavaScript and Node.js fundamentals required to execute Playwright automation and understand basic backend endpoints used in testing.
Topics covered
JavaScript fundamentals
Variables, data types, and operators.
Conditions and loops.
Functions, arrays, and objects.
Promises and asynchronous programming.
`async` and `await`.
Error handling.
Node.js fundamentals
Introduction to Node.js.
Installing Node.js and npm.
Package management.
`package.json`.
Installing dependencies.
Running JavaScript programs.
Basic backend concepts
HTTP requests and responses.
Introduction to Express.js.
Basic API routes.
JSON responses.
Status codes.
Starting and testing a local API server.
Playwright introduction
Playwright installation.
Browser setup.
Browser, context, and page concepts.
Navigation and basic interactions.
Locators and assertions.
Automatic waiting.
What you'll build
- Write JavaScript functions for test data validation.
- Create a Node.js project using npm.
- Build a simple Express.js endpoint.
- Install Playwright.
- Automate a basic login or form workflow using Playwright.
- Validate the response from a sample backend endpoint.
- Internship Assignment
- Create a basic Playwright JavaScript project and automate at least three browser interactions.
By the end: Interns will understand the JavaScript and Node.js fundamentals needed for Playwright and basic API testing.
Develop maintainable Playwright test suites and learn advanced browser automation techniques.
Topics covered
Playwright Test runner.
Test files and configuration.
Assertions using `expect`.
Role-based, label-based, and text locators.
Fixtures and hooks.
Browser contexts and isolated sessions.
Test parametrization.
Form validation.
Handling dialogs and multiple tabs.
File uploads and downloads.
Screenshots and video recordings.
Playwright traces.
Network monitoring and response validation.
Authentication state.
Parallel execution and retries.
HTML reports.
Introduction to Playwright with Python.
Comparing Selenium and Playwright.
What you'll build
- Automate a multi-step form.
- Validate dynamic page content.
- Handle a new browser tab.
- Capture screenshots and traces.
- Generate an HTML test report.
- Automate a selected workflow using Playwright Python.
- Compare Selenium and Playwright implementations of the same scenario.
- Internship Assignment
- Develop a Playwright test suite covering login, navigation, form validation, and at least one advanced browser scenario.
By the end: Interns will be able to develop organized Playwright test suites and use its debugging and reporting features.
Learn to test APIs independently of the UI and perform basic data validation using automated scripts.
Topics covered
API testing
Introduction to APIs and REST.
HTTP methods: GET, POST, PUT, PATCH, and DELETE.
HTTP status codes.
Request headers and response bodies.
JSON data.
Query and path parameters.
Authentication basics.
Positive and negative API testing.
Exploring APIs using Postman.
Python Requests library.
API assertions using pytest.
Playwright API testing.
Response field validation.
Request timeouts and error handling.
Database validation
Introduction to SQL for testers.
SELECT queries and filtering.
Basic joins.
Validating application records.
Comparing API responses with database values.
Safe test data cleanup.
What you'll build
- Test sample API endpoints using Postman.
- Automate API requests using Python Requests.
- Validate status codes and response fields.
- Test invalid inputs and error responses.
- Create pytest-based API tests.
- Execute a Playwright API request.
- Validate sample records using SQL.
- Internship Assignment
- Develop an API automation suite with positive and negative tests and a short database validation exercise.
By the end: Interns will be able to automate API validation and perform basic database checks to verify application behavior.
Learn how to manage automation code using version control and configure introductory CI workflows to execute tests automatically.
Topics covered
Git and GitHub
Git fundamentals.
Creating and cloning repositories.
Commits and branches.
Pushing code to GitHub.
Pull requests.
Basic merge conflict resolution.
`.gitignore`.
README documentation.
Repository organization.
Reporting and debugging
Test execution summaries.
Pass/fail results.
Logging and screenshots.
pytest reports.
Playwright HTML reports.
Investigating failed tests.
Documenting defects.
GitHub Actions
Introduction to CI/CD.
Workflow files and YAML basics.
Workflow triggers.
Jobs and steps.
Installing Python or Node.js in CI.
Installing dependencies.
Running automated tests.
Environment variables and secrets.
Uploading reports as artifacts.
Understanding failed CI runs.
What you'll build
- Upload an automation project to GitHub.
- Create a branch and submit a pull request.
- Add a README with installation and execution instructions.
- Configure GitHub Actions to run pytest.
- Configure a separate Playwright workflow.
- Publish test reports as workflow artifacts.
- Debug a failed CI run.
- Internship Assignment
- Publish an automation project on GitHub and configure a GitHub Actions workflow that executes the test suite automatically.
By the end: Interns will be able to manage automation projects using GitHub and implement basic CI-based test execution.
Apply the concepts learned during the internship to deliver a complete, documented automated testing project for a realistic client application.
Topics covered
What you'll build
- Analyze the application and define testing scope.
- Prepare a test plan and test cases.
- Create Selenium automation scripts.
- Develop a Playwright test suite.
- Implement API tests.
- Organize the automation framework.
- Add configuration and test data management.
- Generate execution reports.
- Publish the project to GitHub.
- Configure GitHub Actions.
- Execute tests and resolve identified failures.
- Prepare final documentation and demonstrate the project.
By the end: Interns will demonstrate their ability to design, implement, execute, debug, and document an automation testing solution using industry-relevant tools.
Additional modules — topics the 1-month doesn't reach
Use pytest to organize, execute, and maintain Python-based automated tests.
Topics covered
Introduction to pytest.
Test file and function naming conventions.
Writing assertions.
Test discovery and execution.
Running selected tests.
Fixtures and fixture scopes.
Setup and teardown.
Parameterized tests.
Test grouping with markers.
Skipping and expected failures.
Reusing setup logic.
Command-line options.
Capturing test output.
Integrating pytest with Selenium.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and teardown.
- Parameterize login tests using multiple sets of test data.
- Run selected tests using markers.
- Generate a test execution summary.
By the end: Build structured Python test suites. Reuse setup and teardown logic. Execute tests selectively and maintain organized test code.
Develop a maintainable Selenium framework using reusable components and established automation design practices.
Topics covered
Introduction to automation framework architecture.
Page Object Model (POM).
Separating page locators from test logic.
Reusable page methods.
Base test and browser setup.
Test configuration management.
Test data separation.
Common utility functions.
Centralized wait and screenshot utilities.
Configuration files.
Logging and exception handling.
Organizing test suites.
Reducing duplicate code.
Framework maintainability and scalability.
What you'll build
- Create page objects for login and dashboard pages.
- Separate test cases from browser interaction methods.
- Build reusable browser setup and teardown utilities.
- Store test data separately from test scripts.
- Organize a small Selenium project using a modular framework structure.
By the end: Build a reusable Selenium automation framework. Reduce duplication and simplify maintenance. Organize automated tests in a team-friendly structure.
Learn Playwright fundamentals and understand how it supports reliable browser automation using JavaScript.
Topics covered
Introduction to Playwright.
Selenium versus Playwright.
Playwright architecture and browser support.
Installing Playwright and creating a project.
Introduction to Playwright Test.
Test files and test structure.
Browser, context, and page concepts.
Navigating to websites.
Locators and element selection.
Actions and assertions.
Auto-waiting behavior.
Running tests from the terminal.
Headless and headed execution.
Browser installation and configuration.
Understanding test results.
What you'll build
- Create a Playwright project using Node.js.
- Open a website and verify its title.
- Automate a login form using Playwright locators.
- Validate page content using assertions.
- Run tests in headed and headless modes.
By the end: Configure Playwright with JavaScript. Write and execute basic browser automation tests. Understand the core Playwright Test workflow.
Learn to write reliable Playwright tests for modern, dynamic web applications.
Topics covered
Role-based locators.
Text-based locators.
Label and placeholder locators.
Test IDs and CSS selectors.
Locator filtering and chaining.
Web-first assertions.
Handling dynamic content.
Forms, dropdowns, checkboxes, and radio buttons.
Dialogs and popups.
Multiple tabs and pages.
Frames and iframes.
File upload and download.
Mouse and keyboard interactions.
Handling network-dependent page behavior.
Reducing flaky tests through reliable locators and assertions.
What you'll build
- Automate a registration form using role and label locators.
- Validate dynamic search results.
- Handle a popup and verify its content.
- Upload a file and verify the application response.
- Automate a multi-step workflow with appropriate assertions.
By the end: Use reliable Playwright locators. Automate complex browser workflows. Write tests that are less dependent on arbitrary delays and fragile selectors.
Learn how to structure, configure, and maintain Playwright test suites.
Topics covered
Playwright Test configuration.
Test organization and naming conventions.
Assertions and test hooks.
Fixtures and reusable setup.
Test isolation.
Parameterized and data-driven testing.
Tags and test annotations.
Retries and timeouts.
Project configuration.
Parallel execution.
Environment-specific configuration.
Browser-specific projects.
Command-line execution and test filtering.
Debugging failed tests.
What you'll build
- Create a structured Playwright test suite.
- Use fixtures for common setup tasks.
- Run selected tests using tags or test names.
- Configure retries and timeouts.
- Execute tests against multiple browser projects.
By the end: Build organized Playwright test suites. Reuse setup logic and test data. Manage execution settings for larger automation projects.
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
E-Commerce Web Application End-to-End Automation Suite
Complete regression automation of product search, shopping cart, multi-step checkout, coupon validation, and session states.
Selenium WebDriverPythonpytestAllure ReportingGit
Live client project
Enterprise Employee Portal API & UI Validation Platform
Dual-layer testing verifying frontend forms alongside backend REST APIs, authentication tokens, and database integrity.
PlaywrightNode.jsRequestsPostgreSQLGitHub Actions
Live client project
FinTech Payment Gateway & Transaction Validation Engine
Data-driven boundary value analysis, mock API gateway responses, idempotent transaction verification, and security testing.
pytestPythonAPI MockingPostmanJSON Schema
Live client project
Cloud SaaS Cross-Browser & Headless CI/CD Pipeline
Parallel cross-browser execution on Chromium, Firefox, and WebKit in headless containers triggered automatically upon pull request creation.
PlaywrightDockerGitHub ActionsAllurePython
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 Bangalore2–6 Month Automated Software Testing & QA Internship
Deeper learning · More projects · Stronger portfolio
₹9,000
₹4,500
50% off
2 / 3 / 4 / 6 months · live daily sessions
Ready for the complete career-ready path?
The Career-Ready flagship bundles everything here with the full Automated Software Testing & QA 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 Automated Software Testing internship, the advanced Automated Software Testing 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
Program 1 — Automated Software Testing 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.
Understand software testing principles and learn to prepare structured test scenarios and test cases based on application requirements.
Topics covered
Introduction to software testing and quality assurance.
Manual testing versus automated testing.
Functional and non-functional testing.
Unit, integration, system, and acceptance testing.
Smoke, sanity, regression, and exploratory testing.
Software Development Life Cycle (SDLC).
Software Testing Life Cycle (STLC).
Defect lifecycle and defect reporting.
Test scenarios and test cases.
Positive and negative testing.
Boundary Value Analysis.
Equivalence Partitioning.
Basic test planning and test coverage.
What you'll build
- Analyze a sample login page.
- Write positive and negative login test cases.
- Prepare test scenarios for registration and search.
- Identify boundary cases for input fields.
- Document sample defects with steps to reproduce and expected versus actual results.
- Internship Assignment
- Prepare a test case document for a sample web application containing at least 20 test cases.
By the end: Interns will understand testing fundamentals and be able to prepare test cases, identify defects, and document testing requirements.
Learn the Python programming concepts required to develop automated test scripts and reusable testing utilities.
Topics covered
Python installation and environment setup.
Variables and data types.
Operators and conditional statements.
Loops.
Strings and string operations.
Lists, tuples, sets, and dictionaries.
Functions and arguments.
Exception handling.
File handling.
JSON and CSV data processing.
Classes, objects, and basic object-oriented programming.
Virtual environments.
Installing packages using pip.
What you'll build
- Write a Python function to validate a username and password.
- Use loops to validate multiple test inputs.
- Store test data in lists and dictionaries.
- Read test data from JSON and CSV files.
- Create reusable validation functions.
- Handle invalid inputs using exception handling.
- Internship Assignment
- Develop a Python utility program that reads test data from a file, validates the data, and produces a simple result summary.
By the end: Interns will be able to write basic Python programs and reusable functions for test automation.
Understand web page structure and learn to identify reliable elements for browser automation.
Topics covered
HTML fundamentals.
Elements, tags, and attributes.
Forms, buttons, links, tables, and input fields.
DOM fundamentals.
IDs, classes, names, and attributes.
CSS selectors.
XPath basics.
Relative XPath.
Text-based element identification.
Browser developer tools.
Inspecting web elements.
Identifying dynamic elements.
Accessible roles and labels.
Understanding element visibility and enabled states.
What you'll build
- Inspect a sample login page.
- Identify the locators for buttons and input fields.
- Write CSS selectors for form elements.
- Create XPath expressions for selected elements.
- Compare stable and fragile locator strategies.
- Internship Assignment
- Prepare a locator document for a sample web application containing at least 15 identified elements and their corresponding locator strategies.
By the end: Interns will be able to inspect web pages and identify appropriate locators for Selenium and Playwright scripts.
Develop automated browser scripts using Selenium WebDriver and Python to test common web application workflows.
Topics covered
Introduction to Selenium WebDriver.
Installing Selenium.
Browser setup and compatibility.
Launching and closing browsers.
Opening URLs and navigating pages.
Finding elements using locators.
Clicking buttons and links.
Entering and clearing text.
Handling dropdowns, checkboxes, and radio buttons.
Validating text and element attributes.
Handling alerts and frames.
Switching between browser windows.
Implicit and explicit waits.
Handling dynamic elements.
Basic assertions.
Capturing screenshots.
Common Selenium exceptions.
Browser cleanup.
What you'll build
- Automate a login workflow.
- Test valid and invalid login credentials.
- Automate a search form.
- Interact with dropdowns and checkboxes.
- Validate error messages.
- Use explicit waits for dynamic elements.
- Capture screenshots when failures occur.
- Internship Assignment
- Develop a Selenium automation suite for login, search, and form validation.
By the end: Interns will be able to write and execute Selenium scripts for common browser testing scenarios.
Learn to organize Selenium scripts into a reusable, maintainable Python automation framework.
Topics covered
Introduction to pytest.
Test functions and assertions.
Test discovery and execution.
Fixtures and setup/teardown.
Test parametrization.
Markers and test selection.
Introduction to Page Object Model (POM).
Creating page classes and test classes.
Reusable browser setup.
Separating locators from test logic.
Test data management.
Configuration files.
Logging and screenshots.
Framework folder structure.
Generating test reports.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and cleanup.
- Parameterize login tests with multiple input combinations.
- Create page objects for login and search.
- Move common actions into reusable functions.
- Generate a test execution report.
- Internship Assignment
- Build a small Selenium-Python framework using pytest and Page Object Model.
By the end: Interns will be able to develop structured, reusable, and maintainable Selenium automation frameworks.
Learn the JavaScript and Node.js fundamentals required to execute Playwright automation and understand basic backend endpoints used in testing.
Topics covered
JavaScript fundamentals
Variables, data types, and operators.
Conditions and loops.
Functions, arrays, and objects.
Promises and asynchronous programming.
`async` and `await`.
Error handling.
Node.js fundamentals
Introduction to Node.js.
Installing Node.js and npm.
Package management.
`package.json`.
Installing dependencies.
Running JavaScript programs.
Basic backend concepts
HTTP requests and responses.
Introduction to Express.js.
Basic API routes.
JSON responses.
Status codes.
Starting and testing a local API server.
Playwright introduction
Playwright installation.
Browser setup.
Browser, context, and page concepts.
Navigation and basic interactions.
Locators and assertions.
Automatic waiting.
What you'll build
- Write JavaScript functions for test data validation.
- Create a Node.js project using npm.
- Build a simple Express.js endpoint.
- Install Playwright.
- Automate a basic login or form workflow using Playwright.
- Validate the response from a sample backend endpoint.
- Internship Assignment
- Create a basic Playwright JavaScript project and automate at least three browser interactions.
By the end: Interns will understand the JavaScript and Node.js fundamentals needed for Playwright and basic API testing.
Develop maintainable Playwright test suites and learn advanced browser automation techniques.
Topics covered
Playwright Test runner.
Test files and configuration.
Assertions using `expect`.
Role-based, label-based, and text locators.
Fixtures and hooks.
Browser contexts and isolated sessions.
Test parametrization.
Form validation.
Handling dialogs and multiple tabs.
File uploads and downloads.
Screenshots and video recordings.
Playwright traces.
Network monitoring and response validation.
Authentication state.
Parallel execution and retries.
HTML reports.
Introduction to Playwright with Python.
Comparing Selenium and Playwright.
What you'll build
- Automate a multi-step form.
- Validate dynamic page content.
- Handle a new browser tab.
- Capture screenshots and traces.
- Generate an HTML test report.
- Automate a selected workflow using Playwright Python.
- Compare Selenium and Playwright implementations of the same scenario.
- Internship Assignment
- Develop a Playwright test suite covering login, navigation, form validation, and at least one advanced browser scenario.
By the end: Interns will be able to develop organized Playwright test suites and use its debugging and reporting features.
Learn to test APIs independently of the UI and perform basic data validation using automated scripts.
Topics covered
API testing
Introduction to APIs and REST.
HTTP methods: GET, POST, PUT, PATCH, and DELETE.
HTTP status codes.
Request headers and response bodies.
JSON data.
Query and path parameters.
Authentication basics.
Positive and negative API testing.
Exploring APIs using Postman.
Python Requests library.
API assertions using pytest.
Playwright API testing.
Response field validation.
Request timeouts and error handling.
Database validation
Introduction to SQL for testers.
SELECT queries and filtering.
Basic joins.
Validating application records.
Comparing API responses with database values.
Safe test data cleanup.
What you'll build
- Test sample API endpoints using Postman.
- Automate API requests using Python Requests.
- Validate status codes and response fields.
- Test invalid inputs and error responses.
- Create pytest-based API tests.
- Execute a Playwright API request.
- Validate sample records using SQL.
- Internship Assignment
- Develop an API automation suite with positive and negative tests and a short database validation exercise.
By the end: Interns will be able to automate API validation and perform basic database checks to verify application behavior.
Learn how to manage automation code using version control and configure introductory CI workflows to execute tests automatically.
Topics covered
Git and GitHub
Git fundamentals.
Creating and cloning repositories.
Commits and branches.
Pushing code to GitHub.
Pull requests.
Basic merge conflict resolution.
`.gitignore`.
README documentation.
Repository organization.
Reporting and debugging
Test execution summaries.
Pass/fail results.
Logging and screenshots.
pytest reports.
Playwright HTML reports.
Investigating failed tests.
Documenting defects.
GitHub Actions
Introduction to CI/CD.
Workflow files and YAML basics.
Workflow triggers.
Jobs and steps.
Installing Python or Node.js in CI.
Installing dependencies.
Running automated tests.
Environment variables and secrets.
Uploading reports as artifacts.
Understanding failed CI runs.
What you'll build
- Upload an automation project to GitHub.
- Create a branch and submit a pull request.
- Add a README with installation and execution instructions.
- Configure GitHub Actions to run pytest.
- Configure a separate Playwright workflow.
- Publish test reports as workflow artifacts.
- Debug a failed CI run.
- Internship Assignment
- Publish an automation project on GitHub and configure a GitHub Actions workflow that executes the test suite automatically.
By the end: Interns will be able to manage automation projects using GitHub and implement basic CI-based test execution.
Apply the concepts learned during the internship to deliver a complete, documented automated testing project for a realistic client application.
Topics covered
What you'll build
- Analyze the application and define testing scope.
- Prepare a test plan and test cases.
- Create Selenium automation scripts.
- Develop a Playwright test suite.
- Implement API tests.
- Organize the automation framework.
- Add configuration and test data management.
- Generate execution reports.
- Publish the project to GitHub.
- Configure GitHub Actions.
- Execute tests and resolve identified failures.
- Prepare final documentation and demonstrate the project.
By the end: Interns will demonstrate their ability to design, implement, execute, debug, and document an automation testing solution using industry-relevant tools.
Use pytest to organize, execute, and maintain Python-based automated tests.
Topics covered
Introduction to pytest.
Test file and function naming conventions.
Writing assertions.
Test discovery and execution.
Running selected tests.
Fixtures and fixture scopes.
Setup and teardown.
Parameterized tests.
Test grouping with markers.
Skipping and expected failures.
Reusing setup logic.
Command-line options.
Capturing test output.
Integrating pytest with Selenium.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and teardown.
- Parameterize login tests using multiple sets of test data.
- Run selected tests using markers.
- Generate a test execution summary.
By the end: Build structured Python test suites. Reuse setup and teardown logic. Execute tests selectively and maintain organized test code.
Develop a maintainable Selenium framework using reusable components and established automation design practices.
Topics covered
Introduction to automation framework architecture.
Page Object Model (POM).
Separating page locators from test logic.
Reusable page methods.
Base test and browser setup.
Test configuration management.
Test data separation.
Common utility functions.
Centralized wait and screenshot utilities.
Configuration files.
Logging and exception handling.
Organizing test suites.
Reducing duplicate code.
Framework maintainability and scalability.
What you'll build
- Create page objects for login and dashboard pages.
- Separate test cases from browser interaction methods.
- Build reusable browser setup and teardown utilities.
- Store test data separately from test scripts.
- Organize a small Selenium project using a modular framework structure.
By the end: Build a reusable Selenium automation framework. Reduce duplication and simplify maintenance. Organize automated tests in a team-friendly structure.
Learn Playwright fundamentals and understand how it supports reliable browser automation using JavaScript.
Topics covered
Introduction to Playwright.
Selenium versus Playwright.
Playwright architecture and browser support.
Installing Playwright and creating a project.
Introduction to Playwright Test.
Test files and test structure.
Browser, context, and page concepts.
Navigating to websites.
Locators and element selection.
Actions and assertions.
Auto-waiting behavior.
Running tests from the terminal.
Headless and headed execution.
Browser installation and configuration.
Understanding test results.
What you'll build
- Create a Playwright project using Node.js.
- Open a website and verify its title.
- Automate a login form using Playwright locators.
- Validate page content using assertions.
- Run tests in headed and headless modes.
By the end: Configure Playwright with JavaScript. Write and execute basic browser automation tests. Understand the core Playwright Test workflow.
Learn to write reliable Playwright tests for modern, dynamic web applications.
Topics covered
Role-based locators.
Text-based locators.
Label and placeholder locators.
Test IDs and CSS selectors.
Locator filtering and chaining.
Web-first assertions.
Handling dynamic content.
Forms, dropdowns, checkboxes, and radio buttons.
Dialogs and popups.
Multiple tabs and pages.
Frames and iframes.
File upload and download.
Mouse and keyboard interactions.
Handling network-dependent page behavior.
Reducing flaky tests through reliable locators and assertions.
What you'll build
- Automate a registration form using role and label locators.
- Validate dynamic search results.
- Handle a popup and verify its content.
- Upload a file and verify the application response.
- Automate a multi-step workflow with appropriate assertions.
By the end: Use reliable Playwright locators. Automate complex browser workflows. Write tests that are less dependent on arbitrary delays and fragile selectors.
Learn how to structure, configure, and maintain Playwright test suites.
Topics covered
Playwright Test configuration.
Test organization and naming conventions.
Assertions and test hooks.
Fixtures and reusable setup.
Test isolation.
Parameterized and data-driven testing.
Tags and test annotations.
Retries and timeouts.
Project configuration.
Parallel execution.
Environment-specific configuration.
Browser-specific projects.
Command-line execution and test filtering.
Debugging failed tests.
What you'll build
- Create a structured Playwright test suite.
- Use fixtures for common setup tasks.
- Run selected tests using tags or test names.
- Configure retries and timeouts.
- Execute tests against multiple browser projects.
By the end: Build organized Playwright test suites. Reuse setup logic and test data. Manage execution settings for larger automation projects.
Program 2 — Full Automated Software Testing Career Course
Understand the purpose of software testing and the role of testing in delivering reliable software.
Topics covered
Introduction to software testing.
Why software testing is necessary.
Objectives and benefits of testing.
Software quality and reliability.
Verification versus validation.
Error, defect, bug, and failure.
Roles and responsibilities of testers.
Manual testing versus automated testing.
Overview of software testing tools and frameworks.
Real-world examples of software failures and their impact.
What you'll build
- Identify potential defects in a sample login application.
- Compare manual testing and automated testing for the same feature.
- Identify testable features in an e-commerce website.
By the end: Understand the purpose and importance of software testing. Distinguish between manual testing and test automation. Identify suitable scenarios for automated testing.
Understand how software testing fits into the software development process.
Topics covered
Software Development Life Cycle (SDLC).
Waterfall and Agile methodologies.
Software Testing Life Cycle (STLC).
Requirement analysis.
Test planning and test design.
Test environment preparation.
Test execution and defect reporting.
Test closure activities.
Role of testing in Agile and Scrum.
Introduction to sprint testing and regression testing.
What you'll build
- Map testing activities to each SDLC phase.
- Prepare a basic STLC workflow for a login application.
- Create a testing checklist for a two-week Agile sprint.
By the end: Understand the software development and testing workflows. Identify testing activities at different development stages. Understand how automation supports Agile development.
Develop the ability to create effective test cases before automating them.
Topics covered
Test scenarios and test cases.
Test data preparation.
Positive and negative testing.
Functional and non-functional testing.
Boundary Value Analysis.
Equivalence Partitioning.
Decision table testing.
State transition testing.
Smoke, sanity, regression, and retesting.
Test case prioritization.
Test case traceability.
What you'll build
- Write test cases for login, registration, and password reset.
- Apply boundary value analysis to an age or amount field.
- Create positive and negative test scenarios for a registration form.
- Prepare a test case sheet with expected and actual results.
By the end: Design clear and reusable test cases. Identify important positive, negative, and boundary scenarios. Prepare test cases suitable for automation.
Understand test automation concepts and determine when automation provides value.
Topics covered
Fundamentals of test automation.
Benefits and limitations of automation.
Automation feasibility analysis.
Selecting suitable test cases for automation.
Test automation pyramid.
Unit, integration, API, and end-to-end testing.
Regression automation.
Smoke test automation.
Test automation framework concepts.
Data-driven, keyword-driven, and hybrid framework overviews.
Challenges in maintaining automated tests.
What you'll build
- Identify test cases suitable for automation in a sample application.
- Compare the effort involved in manual and automated regression testing.
- Classify test scenarios by testing level.
- Prepare an automation feasibility checklist.
By the end: Understand the purpose of test automation. Select appropriate test cases for automation. Understand the components of a maintainable automation framework.
Learn the Python programming concepts required to write Selenium scripts, API tests, and automation utilities.
Topics covered
Installing Python and configuring the development environment.
Python syntax and indentation.
Variables and data types.
Strings, numbers, booleans, and type conversion.
Operators and expressions.
Conditional statements.
Loops and iteration.
Lists, tuples, sets, and dictionaries.
String manipulation.
Functions and parameters.
Exception handling.
File handling.
Working with JSON data.
Virtual environments and pip.
Basic object-oriented programming for automation.
What you'll build
- Write programs using conditions, loops, and functions.
- Store test credentials and test data in dictionaries.
- Read test data from JSON and CSV files.
- Write reusable functions to validate expected and actual values.
- Create a small utility that reads test inputs and checks validation rules.
By the end: Write basic Python programs independently. Understand the programming concepts needed for test automation. Prepare reusable functions and test data utilities.
Learn the JavaScript and Node.js concepts needed to develop and execute browser automation tests using Playwright.
Topics covered
Introduction to JavaScript for test automation.
Variables using `let` and `const`.
Primitive data types and operators.
Conditional statements and loops.
Arrays and objects.
Functions and arrow functions.
Scope and basic error handling.
Promises and asynchronous programming.
`async` and `await`.
Introduction to Node.js and its runtime.
Installing and verifying Node.js and npm.
Using npm to manage packages.
`package.json` and dependency management.
CommonJS and ES modules at a basic level.
Running JavaScript files from the terminal.
Environment variables in Node.js.
Introduction to Express.js and backend routing.
What you'll build
- Write JavaScript programs using arrays, objects, and functions.
- Create an asynchronous function using `async` and `await`.
- Initialize a Node.js project and install a package.
- Create a basic Express.js endpoint returning JSON.
- Call the endpoint and validate its response.
By the end: Understand the JavaScript fundamentals required for Playwright. Set up and manage a Node.js project. Understand asynchronous execution and basic backend API behavior. Run automated testing scripts through Node.js. Scope limitation:** Advanced backend development, frontend frameworks, and complete full stack application development are excluded.
Learn how web pages are structured and how to identify elements for browser automation.
Topics covered
HTML document structure.
Common HTML elements and attributes.
Forms, buttons, links, input fields, and tables.
Document Object Model (DOM).
Element properties and attributes.
IDs, classes, names, and tag selectors.
CSS selector fundamentals.
XPath basics.
Relative XPath and common XPath functions.
Browser developer tools.
Inspecting web elements.
Understanding dynamic attributes.
Identifying stable and maintainable locators.
Handling duplicate elements and ambiguous selectors.
What you'll build
- Inspect a sample login page using browser developer tools.
- Identify elements using ID, class, CSS selectors, and XPath.
- Write selectors for buttons, text fields, links, and tables.
- Compare stable selectors with brittle selectors.
- Inspect a dynamic page and identify reliable element attributes.
By the end: Understand the DOM and basic web page structure. Identify elements accurately for Selenium and Playwright. Write maintainable selectors for automated tests.
Learn how to manage automation code, track changes, and collaborate using Git and GitHub.
Topics covered
Introduction to version control.
Git installation and configuration.
Creating repositories.
Git working directory, staging area, and repository.
Commands: `git init`, `git status`, `git add`, and `git commit`.
Branching and merging.
Remote repositories.
Pushing and pulling code.
Cloning repositories.
Pull requests and code reviews.
`.gitignore` configuration.
Managing test automation project files.
Protecting credentials and sensitive test data.
What you'll build
- Create a GitHub repository for an automation project.
- Commit and push Python test scripts.
- Create a branch for a new test scenario.
- Merge changes through a pull request.
- Configure `.gitignore` to exclude virtual environments and secret files.
By the end: Manage test automation projects using Git. Maintain version history and collaborate through GitHub. Organize automation code for team development.
Learn to automate browser interactions using Selenium WebDriver and Python.
Topics covered
Introduction to Selenium.
Selenium WebDriver architecture.
Installing Selenium and pytest.
Configuring supported browsers and drivers.
Opening and closing browsers.
Navigating between URLs.
Finding elements using locators.
Interacting with text fields and buttons.
Retrieving text and element attributes.
Browser navigation and refresh.
Handling browser windows at a basic level.
Writing and executing simple automation scripts.
Understanding WebDriver exceptions.
What you'll build
- Open a website and verify its title.
- Automate a login form.
- Enter text, click buttons, and verify displayed messages.
- Validate navigation between two pages.
- Create a script that verifies the presence of important page elements.
By the end: Set up Selenium WebDriver with Python. Automate basic browser operations. Write scripts to validate common web application behavior.
Learn to automate complex browser interactions and synchronize scripts with dynamic web applications.
Topics covered
Implicit waits and explicit waits.
What you'll build
- Automate a registration form with dropdowns and checkboxes.
- Handle JavaScript alerts and browser windows.
- Switch between frames.
- Automate a page with dynamically loaded content.
- Capture a screenshot when an automated test fails.
By the end: Handle common advanced browser interactions. Synchronize tests with dynamic page behavior. Reduce flaky failures caused by timing and element availability.
Use pytest to organize, execute, and maintain Python-based automated tests.
Topics covered
Introduction to pytest.
Test file and function naming conventions.
Writing assertions.
Test discovery and execution.
Running selected tests.
Fixtures and fixture scopes.
Setup and teardown.
Parameterized tests.
Test grouping with markers.
Skipping and expected failures.
Reusing setup logic.
Command-line options.
Capturing test output.
Integrating pytest with Selenium.
What you'll build
- Convert standalone Selenium scripts into pytest tests.
- Create fixtures for browser setup and teardown.
- Parameterize login tests using multiple sets of test data.
- Run selected tests using markers.
- Generate a test execution summary.
By the end: Build structured Python test suites. Reuse setup and teardown logic. Execute tests selectively and maintain organized test code.
Develop a maintainable Selenium framework using reusable components and established automation design practices.
Topics covered
Introduction to automation framework architecture.
Page Object Model (POM).
Separating page locators from test logic.
Reusable page methods.
Base test and browser setup.
Test configuration management.
Test data separation.
Common utility functions.
Centralized wait and screenshot utilities.
Configuration files.
Logging and exception handling.
Organizing test suites.
Reducing duplicate code.
Framework maintainability and scalability.
What you'll build
- Create page objects for login and dashboard pages.
- Separate test cases from browser interaction methods.
- Build reusable browser setup and teardown utilities.
- Store test data separately from test scripts.
- Organize a small Selenium project using a modular framework structure.
By the end: Build a reusable Selenium automation framework. Reduce duplication and simplify maintenance. Organize automated tests in a team-friendly structure.
Learn Playwright fundamentals and understand how it supports reliable browser automation using JavaScript.
Topics covered
Introduction to Playwright.
Selenium versus Playwright.
Playwright architecture and browser support.
Installing Playwright and creating a project.
Introduction to Playwright Test.
Test files and test structure.
Browser, context, and page concepts.
Navigating to websites.
Locators and element selection.
Actions and assertions.
Auto-waiting behavior.
Running tests from the terminal.
Headless and headed execution.
Browser installation and configuration.
Understanding test results.
What you'll build
- Create a Playwright project using Node.js.
- Open a website and verify its title.
- Automate a login form using Playwright locators.
- Validate page content using assertions.
- Run tests in headed and headless modes.
By the end: Configure Playwright with JavaScript. Write and execute basic browser automation tests. Understand the core Playwright Test workflow.
Learn to write reliable Playwright tests for modern, dynamic web applications.
Topics covered
Role-based locators.
Text-based locators.
Label and placeholder locators.
Test IDs and CSS selectors.
Locator filtering and chaining.
Web-first assertions.
Handling dynamic content.
Forms, dropdowns, checkboxes, and radio buttons.
Dialogs and popups.
Multiple tabs and pages.
Frames and iframes.
File upload and download.
Mouse and keyboard interactions.
Handling network-dependent page behavior.
Reducing flaky tests through reliable locators and assertions.
What you'll build
- Automate a registration form using role and label locators.
- Validate dynamic search results.
- Handle a popup and verify its content.
- Upload a file and verify the application response.
- Automate a multi-step workflow with appropriate assertions.
By the end: Use reliable Playwright locators. Automate complex browser workflows. Write tests that are less dependent on arbitrary delays and fragile selectors.
Learn how to structure, configure, and maintain Playwright test suites.
Topics covered
Playwright Test configuration.
Test organization and naming conventions.
Assertions and test hooks.
Fixtures and reusable setup.
Test isolation.
Parameterized and data-driven testing.
Tags and test annotations.
Retries and timeouts.
Project configuration.
Parallel execution.
Environment-specific configuration.
Browser-specific projects.
Command-line execution and test filtering.
Debugging failed tests.
What you'll build
- Create a structured Playwright test suite.
- Use fixtures for common setup tasks.
- Run selected tests using tags or test names.
- Configure retries and timeouts.
- Execute tests against multiple browser projects.
By the end: Build organized Playwright test suites. Reuse setup logic and test data. Manage execution settings for larger automation projects.
Learn to use Playwright with Python for browser automation and compare its workflow with Playwright using JavaScript.
Topics covered
Installing the Playwright Python package.
Browser installation and configuration.
Synchronous and asynchronous Playwright APIs.
Browser, context, and page management.
Navigating to websites.
Locators and actions.
Assertions and synchronization.
Handling forms and dynamic content.
Screenshots and browser traces.
Integrating Playwright with pytest.
Fixtures for browser and page setup.
Running tests in headless mode.
Organizing Python-based Playwright tests.
Comparing Selenium Python and Playwright Python.
What you'll build
- Create a Playwright Python project.
- Automate login and search workflows.
- Use pytest to execute Playwright tests.
- Capture screenshots and traces for failed tests.
- Automate the same scenario using Selenium Python and Playwright Python, then compare the implementation.
By the end: Write browser automation tests using Playwright and Python. Understand the differences between Playwright Python and Playwright JavaScript. Choose an appropriate automation tool based on project requirements.
Understand API testing and learn how to validate backend services without relying entirely on browser automation.
Topics covered
Introduction to APIs.
Client-server communication.
HTTP and HTTPS fundamentals.
HTTP methods: GET, POST, PUT, PATCH, and DELETE.
HTTP status codes.
Request headers and response headers.
Query parameters and path parameters.
Request bodies and JSON.
REST API principles.
Authentication and authorization basics.
Positive and negative API testing.
API validation and error handling.
Introduction to Postman.
Understanding API specifications.
What you'll build
- Explore a sample REST API using Postman.
- Validate response status codes and JSON fields.
- Test GET and POST requests.
- Verify error responses for invalid inputs.
- Prepare API test cases for a simple user-management service.
By the end: Understand how web APIs work. Create and execute basic API tests. Validate backend behavior independently of the user interface.
Develop automated API tests using Python Requests and pytest.
Topics covered
Installing and using the Requests library.
Sending HTTP requests.
Passing headers, parameters, and JSON payloads.
Reading response status codes and bodies.
Validating JSON responses.
Assertions for API results.
Handling authentication tokens.
Testing invalid inputs and error responses.
Reusing API helper functions.
Parameterized API testing.
Managing environment-specific base URLs.
Handling timeouts and request exceptions.
Organizing API test suites.
Basic API test reporting.
What you'll build
- Automate GET, POST, PUT, and DELETE requests against a test API.
- Validate response fields and status codes.
- Test valid and invalid request payloads.
- Create reusable API client functions.
- Integrate API tests into a pytest suite.
By the end: Build automated API test suites using Python. Validate backend behavior through reusable test scripts. Reduce repetitive manual API testing.
Learn to test APIs using Playwright's API capabilities and understand how basic Node.js backend behavior can be validated.
Topics covered
Introduction to Playwright API testing.
Using API request contexts.
Sending API requests and inspecting responses.
Validating status codes and response bodies.
Testing JSON payloads.
Handling headers, query parameters, and authentication.
Testing positive and negative scenarios.
Reusing API request configuration.
Understanding Node.js and Express.js routes.
HTTP request and response handling in Express.
Testing backend endpoints without a browser.
Using test data to validate API behavior.
Comparing Python Requests and Playwright API testing.
What you'll build
- Create automated API tests using Playwright Test.
- Test GET and POST endpoints on a sample backend.
- Validate response fields and error messages.
- Create a basic Express endpoint and test its responses.
- Compare API test implementations using Python Requests and Playwright.
By the end: Automate API testing using Playwright. Understand how backend endpoints can be tested independently. Select appropriate API testing tools for Python- and Node.js-based projects. Scope clarification:** Node.js backend work is limited to basic endpoints and testable API behavior. Building a full application, frontend interface, or complete backend business system is not part of this course.
Learn to manage test inputs, configuration settings, credentials, and environment-specific data safely and consistently.
Topics covered
Importance of test data management.
Static and dynamic test data.
Data-driven testing.
Reading JSON and CSV test data.
Generating unique test values.
Managing environment-specific URLs.
Environment variables.
Configuration files.
Separating test data from test logic.
Managing credentials and tokens securely.
Using secret stores and GitHub repository secrets.
Test data cleanup.
Avoiding dependencies between test cases.
Handling test data in parallel execution.
What you'll build
- Create JSON and CSV files containing test cases.
- Execute the same test with multiple input combinations.
- Configure separate test URLs for test and staging environments.
- Move sensitive values into environment variables.
- Create a cleanup procedure for test records.
By the end: Maintain reusable and organized test data. Run tests across different environments. Reduce hard-coded values and prevent accidental exposure of credentials.
Learn to automate realistic application workflows and verify behavior across browsers and execution environments.
Topics covered
End-to-end test scenarios.
Multi-step user workflows.
Login, search, filtering, and form submission.
Session and authentication state.
Cookies and local storage.
Handling dynamic tables and pagination.
Network failures and response validation.
Cross-browser testing with Chromium, Firefox, and WebKit where supported.
Responsive viewport testing.
Browser-specific behavior.
Headless execution.
Test isolation and parallel execution.
Handling flaky tests.
Test prioritization and execution time optimization.
What you'll build
- Automate a complete user-registration and login workflow.
- Test a search and filtering workflow.
- Validate authenticated and unauthenticated access.
- Execute a browser automation suite across multiple browsers.
- Investigate and fix flaky tests caused by timing or shared test data.
By the end: Automate realistic end-to-end workflows. Validate application behavior across supported browsers. Improve the reliability and efficiency of automated test execution.
Learn to diagnose test failures, capture useful debugging information, and generate reports that help teams investigate defects.
Topics covered
Common Selenium and Playwright failures.
Understanding stack traces and error messages.
Debugging Python and JavaScript test scripts.
Logging test execution.
Capturing screenshots on failure.
Recording Playwright traces.
Using Playwright Inspector and browser developer tools.
Investigating timeout and locator errors.
Generating pytest reports.
Playwright HTML reporting.
Test result summaries and failure analysis.
Separating application defects from test script defects.
Collecting diagnostic artifacts for CI runs.
Writing useful defect reports.
What you'll build
- Debug a failing Selenium test.
- Investigate a Playwright timeout using a trace.
- Capture screenshots when tests fail.
- Generate and inspect HTML test reports.
- Prepare a defect report containing reproduction steps, expected results, actual results, and supporting evidence.
By the end: Diagnose common automation failures efficiently. Produce meaningful execution reports and debugging artifacts. Help developers reproduce and resolve defects more quickly.
Learn to execute automated tests automatically through GitHub Actions when code is pushed or a pull request is created.
Topics covered
Introduction to CI/CD.
Continuous Integration versus Continuous Delivery and Deployment.
Introduction to GitHub Actions.
Workflows, events, jobs, and steps.
Runners and execution environments.
YAML fundamentals for workflow files.
Triggering workflows on push and pull requests.
Setting up Python and Node.js environments.
Installing project dependencies.
Running pytest and Selenium tests.
Running Playwright tests and installing required browsers.
Executing headless browser tests.
Environment variables and repository secrets.
Uploading test reports, screenshots, and traces as artifacts.
Understanding workflow logs and failed jobs.
Basic workflow optimization and caching.
Using test results as part of a pull-request quality check.
What you'll build
- Create a GitHub Actions workflow for a Python pytest suite.
- Configure a workflow to install dependencies and execute Selenium tests.
- Configure a Playwright workflow using Node.js.
- Run tests automatically on pushes and pull requests.
- Upload HTML reports and failure screenshots as workflow artifacts.
- Investigate and fix a failed workflow.
By the end: Automate test execution through GitHub Actions. Understand how automated tests fit into CI/CD pipelines. Generate test results for every relevant code change. Establish a basic automated quality-check process. Scope clarification:** The focus is on continuous integration and automated test execution, not advanced production deployment or infrastructure engineering.
Learn how to improve automation frameworks so that tests remain reliable, maintainable, secure, and efficient as applications change.
Topics covered
Automation framework review and refactoring.
Reusable components and helper functions.
Page Object Model best practices.
Reliable locator strategies.
Avoiding hard-coded delays.
Test independence and isolation.
Reducing flaky tests.
Managing retries appropriately.
Parallel execution and resource management.
Test tagging and selective execution.
Separating configuration, test data, and test logic.
Logging and reporting standards.
Secure handling of credentials.
Code reviews for automation scripts.
Test suite maintenance as application features change.
Measuring automation coverage and execution performance.
Identifying tests that are expensive or unsuitable to automate.
What you'll build
- Refactor a duplicated automation script into reusable components.
- Replace fixed sleeps with appropriate synchronization.
- Identify and fix test dependencies.
- Improve a slow test suite using selective execution and parallelization where appropriate.
- Review an automation framework for maintainability and security.
By the end: Improve framework maintainability and reliability. Reduce flaky tests and unnecessary execution time. Apply practical standards for building automation suitable for team use.
Build a practical automated testing project that combines browser automation, API testing, reusable framework components, reporting, version control, and continuous integration. Project Description: Develop an automated testing solution for a sample web application, such as an employee management system, student management portal, or e-commerce application. The solution should validate important user workflows through the UI and test relevant backend APIs independently.
Topics covered
Requirement analysis and test planning.
Test scenario and test case preparation.
Automation framework design.
Selenium with Python and pytest.
Playwright with JavaScript or Python.
API automation using Python Requests or Playwright API testing.
Reusable test data and configuration management.
Cross-browser execution where applicable.
Screenshots, traces, logs, and test reports.
Git and GitHub repository management.
GitHub Actions workflow configuration.
Test execution on code changes.
Defect documentation and final project reporting.
What you'll build
- Identify the application's main user workflows.
- Prepare positive, negative, and regression test cases.
- Select appropriate UI and API test scenarios.
- Automate login, form submission, search, and record validation.
- Organize tests using pytest and Page Object Model.
- Capture screenshots for failed tests.
- Automate selected workflows using Playwright.
- Implement robust locators and assertions.
- Generate an HTML report and capture debugging artifacts.
- Automate relevant API requests.
- Validate status codes, response data, and error handling.
- Use Python Requests or Playwright API testing.
- Task 5: CI Integration
- Push the project to GitHub.
- Configure GitHub Actions to install dependencies and run selected tests.
- Upload reports and debugging artifacts.
- Verify workflow results after a code change.
- Task 6: Project Demonstration
- Demonstrate successful test execution.
- Explain the framework structure and testing strategy.
- Present test results and sample defect reports.
- Document limitations and opportunities for improvement.
By the end: Build a practical automated testing project. Demonstrate skills in Selenium, Playwright, API testing, and pytest. Manage automation code using GitHub. Execute tests automatically using GitHub Actions. Produce reports and debugging evidence suitable for project review.
Program 3 — Industry Project Engineering Standards (14 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 fundamentals of software testing, the role of quality assurance, and how automation supports software quality and faster delivery.
Topics covered
Introduction to software testing and quality assurance.
Difference between QA, quality control, and software testing.
Manual testing versus automated testing.
Verification versus validation.
Functional and non-functional testing.
Unit, integration, system, and acceptance testing.
Smoke, sanity, regression, and exploratory testing.
Positive and negative testing.
Defects, errors, failures, and root causes.
Defect lifecycle and severity versus priority.
Role of QA engineers and automation engineers in software teams.
Advantages, limitations, and risks of test automation.
Identifying scenarios suitable for automation.
Introduction to automation tools and testing frameworks.
Industry Relevance
QA teams must determine what to test, why to test it, and which activities are worth automating. Understanding these fundamentals helps prevent unnecessary automation and supports effective test planning.
What you'll build
- Identify functional and non-functional requirements for an online shopping application.
- Classify scenarios into smoke, regression, and exploratory testing.
- Identify which scenarios should be automated and which should remain manual.
- Create sample defect reports for login, search, and checkout failures.
By the end: Learners will understand the testing lifecycle, major testing types, defect management, and the role of automation in software delivery.
Learn how testing activities fit into software development and how to convert client requirements into a structured testing plan.
Topics covered
Software Development Life Cycle (SDLC).
Waterfall and Agile development approaches.
Scrum fundamentals: sprints, backlog, user stories, and acceptance criteria.
Software Testing Life Cycle (STLC).
Requirement analysis and testability.
Test plans and test strategies.
Test scenarios and detailed test cases.
Preconditions, test steps, and expected results.
Entry and exit criteria.
Test environment preparation.
Test estimation and prioritization.
Risk-based testing.
Requirement Traceability Matrix (RTM).
Defect reporting and retesting.
Regression testing after bug fixes.
Collaboration between developers, testers, business analysts, and clients.
Industry Relevance
In client projects, automation engineers must understand business requirements before writing scripts. Poor requirement analysis can result in unreliable tests that validate the wrong behavior.
What you'll build
- Analyze a sample requirement for an employee login portal.
- Convert user stories into test scenarios and test cases.
- Prepare a basic test plan for an e-commerce application.
- Create an RTM linking requirements to test cases.
- Prioritize tests based on business risk.
By the end: Learners will be able to interpret requirements, create test plans, document test cases, and establish traceability between requirements and testing activities.
Develop effective test cases using systematic test design techniques to improve coverage and identify defects efficiently.
Topics covered
Equivalence partitioning.
Boundary value analysis.
Decision table testing.
State transition testing.
Positive and negative test cases.
Invalid input testing.
Required and optional field validation.
Error-message validation.
Data-driven test scenarios.
Risk-based test selection.
Requirements coverage.
Code coverage concepts.
Functional coverage versus code coverage.
Test case prioritization.
Identifying redundant test cases.
Test scenario independence.
Industry Relevance
A large client application may have thousands of possible input combinations. Test design techniques help engineers select meaningful scenarios without creating unnecessary tests.
What you'll build
- Design boundary tests for age, quantity, and password fields.
- Create a decision table for discount eligibility.
- Design state transition tests for an order lifecycle.
- Prepare positive and negative scenarios for a login form.
- Map test cases to requirements and identify coverage gaps.
By the end: Learners will be able to create structured, risk-focused test cases and identify missing coverage before implementing automation.
Build the Python programming skills required to develop Selenium scripts, API tests, reusable utilities, and pytest-based test suites.
Topics covered
Installing Python and configuring the development environment.
Variables, data types, and type conversion.
Operators and expressions.
Conditional statements.
`for` and `while` loops.
Strings and string operations.
Lists, tuples, sets, and dictionaries.
Functions and return values.
Positional and keyword arguments.
Scope and reusable functions.
File handling.
JSON and CSV file processing.
Exception handling with `try`, `except`, and `finally`.
Object-oriented programming fundamentals.
Classes, objects, constructors, and methods.
Inheritance and composition at a basic level.
Virtual environments and dependency management.
Installing libraries using pip.
Industry Relevance
Python is used to implement Selenium automation, API validation, test data processing, configuration management, and reusable testing utilities.
What you'll build
- Write functions to validate usernames and passwords.
- Read test data from JSON and CSV files.
- Use dictionaries to store API request and response data.
- Create a reusable function for validating expected values.
- Implement exception handling for invalid test data.
- Build a simple Python utility package.
By the end: Learners will be able to write, execute, debug, and organize Python programs required for test automation.
Understand the JavaScript and Node.js concepts required to develop Playwright automation scripts and execute basic backend testing exercises.
Topics covered
JavaScript fundamentals
Variables using `let` and `const`.
Data types and type conversion.
Operators and conditional statements.
Loops and functions.
Arrays and objects.
Array methods used in test data processing.
Object properties and destructuring.
Error handling using `try` and `catch`.
Promises and asynchronous programming.
`async` and `await`.
Node.js fundamentals
Introduction to Node.js and its role in automation.
Installing and verifying Node.js.
npm and package management.
`package.json` and dependency scripts.
Installing and updating packages.
Node.js modules and project structure.
Environment variables.
Running JavaScript programs from the terminal.
Asynchronous execution and handling errors.
Basic backend concepts
Introduction to servers and HTTP requests.
Basic Express.js application structure.
Routes and request handlers.
Request parameters and JSON responses.
Status codes and simple validation.
Starting and stopping a local API server.
Understanding how an API is tested by an automation script.
Industry Relevance
Playwright supports both JavaScript/TypeScript and Python. JavaScript and Node.js fundamentals are especially useful for teams using Playwright Test and the Node.js ecosystem.
The Express.js portion is limited to small backend examples used for testing; it is not a full-stack development module.
What you'll build
- Write JavaScript functions to validate test data.
- Use `async` and `await` in a simple asynchronous program.
- Create a Node.js project and install dependencies using npm.
- Build a small Express.js API with health-check and sample data endpoints.
- Send requests to the local API and validate its responses.
By the end: Learners will understand JavaScript execution, asynchronous operations, npm, and the basic backend concepts needed for Playwright and API testing.
Learn how web pages are structured and how to identify reliable elements for browser automation.
Topics covered
HTML document structure.
Elements, tags, attributes, and input types.
Forms, buttons, tables, links, and dropdowns.
DOM fundamentals.
Parent-child and sibling relationships.
IDs, classes, names, and attributes.
CSS selectors.
XPath expressions.
Relative XPath.
Text-based element identification.
Accessible roles, labels, and names.
Browser developer tools.
Inspecting elements and DOM properties.
Network tab and request inspection.
Identifying dynamic elements.
Understanding hidden and disabled elements.
Locator reliability and maintainability.
Accessibility considerations in locator design.
Industry Relevance
Reliable element identification is critical to Selenium and Playwright. Poor locators cause flaky tests and increase maintenance effort when the application changes.
What you'll build
- Inspect a login page using browser developer tools.
- Create CSS selectors for buttons, inputs, and links.
- Write XPath expressions for dynamic table rows.
- Identify accessible labels and roles for common controls.
- Compare fragile selectors with stable selectors.
- Document locator choices for a sample application.
By the end: Learners will be able to inspect web pages, identify elements, and select maintainable locators for automation scripts.
Learn how to plan a maintainable automation solution and select the right tools and framework structure for a client project.
Topics covered
Identifying automation candidates.
Evaluating automation feasibility.
Selenium versus Playwright.
Choosing Python or JavaScript for automation.
Understanding pytest and Playwright Test.
Test pyramid and test distribution.
UI versus API automation.
Smoke, regression, and critical-path automation.
Framework architecture and design principles.
Separation of tests, page objects, data, configuration, and utilities.
Reusable functions and components.
Test independence and isolation.
Test data management.
Environment management.
Logging and reporting requirements.
Maintainability and code review.
Automation risks and limitations.
Framework execution strategy.
Industry Relevance
Enterprise teams need a framework that supports repeated execution, team collaboration, debugging, and future application changes—not just a collection of scripts.
What you'll build
- Analyze the requirements for an e-commerce testing project.
- Identify UI and API automation candidates.
- Choose appropriate tools for different scenarios.
- Design a framework architecture.
- Define folder structure, configuration, reporting, and test data strategies.
By the end: Learners will be able to prepare an automation strategy and design a framework appropriate to a real-world testing project.
Develop browser automation scripts using Selenium WebDriver and Python to validate common web application workflows.
Topics covered
Selenium architecture and WebDriver.
Installing Selenium.
Browser and driver compatibility.
Setting up browser execution.
Launching and closing browsers.
Navigating between URLs.
Finding elements using supported locator strategies.
`find_element` and `find_elements`.
Clicking buttons and links.
Entering and clearing text.
Dropdown handling.
Checkboxes and radio buttons.
Handling alerts and confirmation dialogs.
Working with frames and iframes.
Switching between browser windows and tabs.
Retrieving text and element attributes.
Basic assertions and validation.
Browser cleanup and resource management.
Industry Relevance
Selenium remains useful for browser automation across established enterprise applications and projects that use Python-based automation frameworks.
What you'll build
- Automate a login workflow.
- Validate successful and unsuccessful login attempts.
- Automate a search form.
- Interact with dropdowns and checkboxes.
- Switch between windows and frames.
- Verify displayed text and element attributes.
By the end: Learners will be able to develop and execute Selenium scripts for common browser workflows.
Handle dynamic web applications reliably by implementing appropriate synchronization, advanced browser interactions, and error handling.
Topics covered
Static versus dynamic web elements.
Implicit waits.
Explicit waits.
What you'll build
- Automate a page with delayed content.
- Wait for a button to become clickable.
- Handle a dynamically updated table.
- Upload a file and verify the result.
- Capture screenshots when tests fail.
- Diagnose and fix common Selenium exceptions.
By the end: Learners will be able to develop more reliable Selenium scripts and troubleshoot synchronization issues.
Use pytest to organize, execute, parameterize, and maintain Python-based automated tests.
Topics covered
Introduction to pytest.
Installing pytest.
Test file and function naming conventions.
Assertions.
Test discovery.
Running individual tests and test files.
Fixtures and fixture scope.
Setup and teardown.
Test parametrization.
Markers and test categorization.
Skipping and expected failures.
Exception testing.
Selecting tests using command-line options.
Verbose execution and failure details.
Configuration using `pytest.ini` or supported project configuration.
Managing test dependencies.
Integrating pytest with Selenium.
Integrating pytest with API tests.
Generating reports with appropriate plugins.
Industry Relevance
pytest provides a flexible foundation for Python automation frameworks. Fixtures and parametrization help reduce duplication and make test suites easier to maintain.
What you'll build
- Convert standalone Python checks into pytest tests.
- Create fixtures for test setup and cleanup.
- Parameterize login tests using multiple input combinations.
- Create smoke and regression markers.
- Run selected tests from the command line.
- Generate an execution report.
By the end: Learners will be able to organize and execute Python test suites using pytest.
Build a reusable Selenium framework using Page Object Model and supporting components that separate test logic from browser interactions.
Topics covered
Framework design principles.
Page Object Model (POM).
Page classes and test classes.
Separating locators from test logic.
Reusable browser setup.
Base page and shared utilities.
pytest fixtures for browser management.
Configuration files.
Test data separation.
Environment variables.
Logging.
Screenshots on failure.
Reusable navigation and validation functions.
Test execution configuration.
Naming conventions.
Exception handling and cleanup.
Avoiding duplicated code.
Framework maintenance and extensibility.
Industry Relevance
Client applications change frequently. A maintainable framework allows teams to update page interactions without rewriting every test.
What you'll build
- Design a POM framework for a login page.
- Create page objects for login and search.
- Move reusable browser operations into utilities.
- Add pytest fixtures for browser lifecycle management.
- Add configuration and test data files.
- Capture failure evidence and maintain logs.
By the end: Learners will be able to create a structured Selenium framework rather than maintaining unrelated automation scripts.
Build browser automation scripts using Playwright and JavaScript in the Node.js environment.
Topics covered
Playwright architecture and capabilities.
Installing Playwright with npm.
Understanding `package.json`.
Browser installation and configuration.
Chromium, Firefox, and WebKit.
Browser, context, and page objects.
Navigation and page lifecycle.
Locators and element interactions.
Role-based and label-based locators.
Text and CSS locators.
Filling forms and clicking controls.
Built-in assertions.
Auto-waiting behavior.
Browser contexts and isolated sessions.
Screenshots.
Basic test organization.
Running scripts from the terminal.
Industry Relevance
Playwright is commonly used for modern web application testing because it provides automatic waiting, browser isolation, tracing, and integrated test tooling.
What you'll build
- Create a Playwright JavaScript project.
- Automate login and logout workflows.
- Validate form submission.
- Interact with dropdowns and search results.
- Use role-based locators.
- Execute scripts against a designated test environment.
By the end: Learners will be able to create and execute basic browser automation scripts using Playwright and JavaScript.
Use Playwright Test to organize browser tests, configure execution, manage fixtures, and support reliable regression testing.
Topics covered
Playwright Test runner.
Test file organization.
`test` and `expect`.
Hooks and lifecycle management.
Built-in fixtures.
Custom fixtures.
Test configuration.
Projects and browser configuration.
Test grouping and tagging.
Test selection.
Parallel execution.
Retries and timeout settings.
Test isolation.
Authentication state.
Environment-specific configuration.
Command-line execution.
HTML reporting.
Managing test artifacts.
Industry Relevance
Enterprise automation requires consistent execution across different browsers, environments, and test groups. Playwright Test provides built-in capabilities to manage these requirements.
What you'll build
- Convert basic scripts into Playwright Test tests.
- Create reusable fixtures.
- Configure browser projects.
- Organize smoke and regression tests.
- Execute tests in parallel.
- Generate and review HTML reports.
By the end: Learners will be able to organize Playwright automation into a structured and configurable test suite.
Use advanced Playwright features to automate complex workflows and investigate test failures efficiently.
Topics covered
Reliable locator strategies.
Role, label, text, and test-ID locators.
Locator filtering and chaining.
Handling dynamic content.
Dialogs and pop-ups.
Multiple pages and browser contexts.
File uploads and downloads.
Screenshots and video recordings.
Playwright traces.
Network monitoring.
Request interception and mocking.
Waiting for network activity or specific responses.
Authentication state and session reuse.
Debugging tools and headed execution.
Browser DevTools integration.
Diagnosing timing issues.
Test isolation and cleanup.
Identifying flaky tests.
Industry Relevance
Complex applications may contain dynamic content, authentication, external dependencies, and asynchronous workflows. Advanced Playwright features help teams test these scenarios while improving debugging efficiency.
What you'll build
- Automate a multi-step checkout workflow.
- Handle a dialog and a new browser tab.
- Capture screenshots and traces for a failed test.
- Validate a download.
- Mock a controlled network response.
- Reuse an authenticated test session where appropriate.
By the end: Learners will be able to automate more complex browser scenarios and use Playwright
Program 4 — Leveraging AI for 10× Faster Software Development (25 modules)
25 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 generate test scenarios, automation scripts, test data, assertions, debugging suggestions, and reusable testing components.
Topics covered
Introduction to prompt engineering for automated software testing.
Writing role-based prompts for QA engineers and test automation developers.
Providing application context, requirements, technology stack, and testing objectives.
Writing structured prompts with clear inputs, constraints, and expected outputs.
Generating Python, JavaScript, Selenium, and Playwright code using AI.
Creating prompts for test case generation and test data preparation.
Using AI to generate assertions and negative test scenarios.
Refining prompts when generated scripts fail or produce incomplete results.
Creating reusable prompts for repetitive testing activities.
Reviewing AI-generated code for correctness, security, and maintainability.
How AI Helps Developers Work 10× Faster
AI can reduce the time spent writing repetitive prompts, searching for syntax, creating boilerplate scripts, and explaining requirements repeatedly. Reusable prompts can help developers obtain more consistent outputs across testing tasks.
What you'll build
- Create a reusable prompt that generates test cases from a login requirement.
- Generate Selenium Python code using a structured prompt.
- Generate a Playwright JavaScript test for the same scenario.
- Improve an initial prompt to produce better assertions and negative test cases.
- Create a prompt template for debugging failed automation scripts.
By the end: Write effective prompts for different testing activities. Generate initial automation scripts and test cases more efficiently. Reuse prompts across multiple testing projects. Verify AI output rather than accepting generated code blindly.
Learn how AI can analyze an existing automation project and understand its folder structure, test scripts, framework components, dependencies, configurations, and execution workflow.
Topics covered
Understanding the structure of automation projects.
Using AI to analyze Python and JavaScript test files.
Explaining Selenium and Playwright framework components.
Analyzing pytest fixtures and Playwright configuration files.
Understanding Page Object Model implementations.
Identifying reusable functions, utilities, and dependencies.
Analyzing test data and environment configuration.
Generating project summaries and setup instructions.
Maintaining project context when working with multiple files.
Using repository-aware AI coding tools where available.
Protecting credentials, tokens, and confidential application information.
How AI Helps Developers Work 10× Faster
Instead of manually reading every file, developers can use AI to summarize project structure, explain unfamiliar code, locate relevant functions, and identify where new tests should be added.
What you'll build
- Provide a sample Selenium project and ask AI to explain its folder structure.
- Analyze a Playwright project and identify its test configuration.
- Ask AI to explain the relationship between fixtures, page objects, and test files.
- Generate project setup documentation from existing files.
- Ask AI to identify reusable functions that could reduce duplicate code.
By the end: Understand unfamiliar automation projects faster. Reduce manual code exploration. Build and maintain reusable project context. Extend existing frameworks without unnecessarily rewriting their structure.
Learn how AI can analyze a Software Requirements Specification (SRS) and extract testable requirements, expected behaviors, edge cases, and automation opportunities.
Topics covered
Understanding SRS documents from a testing perspective.
Extracting functional and non-functional requirements.
Identifying user roles and application workflows.
Mapping requirements to test scenarios.
Identifying positive, negative, and boundary conditions.
Detecting ambiguous and incomplete requirements.
Identifying dependencies between application features.
Finding missing validation and error-handling scenarios.
Generating requirement traceability matrices.
Identifying requirements suitable for UI and API automation.
Reviewing AI-generated requirements against the original SRS.
How AI Helps Developers Work 10× Faster
AI can quickly summarize lengthy requirement documents, identify testable conditions, and produce an initial list of test scenarios. This reduces manual analysis effort and helps uncover overlooked testing conditions.
What you'll build
- Provide an SRS for a login and registration system.
- Ask AI to extract all functional requirements.
- Generate positive, negative, and boundary test scenarios.
- Identify missing requirements for password recovery and account locking.
- Generate a requirement-to-test-case traceability matrix.
By the end: Convert requirements into structured testing tasks. Identify missing and ambiguous requirements before automation begins. Improve test coverage and traceability. Reduce repetitive requirement-analysis work.
Learn how AI can transform analyzed requirements into a practical test plan that defines testing scope, priorities, tools, environments, risks, and execution strategies.
Topics covered
Understanding test plans and test strategies.
Defining test scope and objectives.
Selecting suitable testing levels.
Identifying smoke, regression, functional, and integration testing requirements.
Selecting appropriate automation tools.
Prioritizing test scenarios based on business risk.
Estimating automation effort and dependencies.
Defining test environments and browser requirements.
Identifying test data and access requirements.
Defining entry and exit criteria.
Generating test execution checklists.
Reviewing AI-generated plans for feasibility and completeness.
How AI Helps Developers Work 10× Faster
AI can generate an initial test plan from requirements and project context, organize testing tasks, identify risks, and suggest test priorities. Developers can then refine the plan based on actual project constraints.
What you'll build
- Generate a test plan for an employee management application.
- Ask AI to classify tests into smoke, regression, and functional categories.
- Generate a browser testing matrix.
- Identify high-risk application features and prioritize their tests.
- Review the generated plan and remove irrelevant or infeasible test activities.
By the end: Create structured test plans faster. Prioritize testing according to business risks. Select suitable automation tools and execution environments. Establish a clear roadmap before writing scripts.
Learn how AI can generate test cases and identify questions that need clarification before automation begins.
Topics covered
Converting requirements into test cases.
Generating test scenarios from user stories.
Creating positive and negative test cases.
Applying boundary value analysis and equivalence partitioning.
Generating edge cases and validation scenarios.
Identifying missing business rules.
Generating client clarification questions.
Preparing test data and expected results.
Creating test case templates.
Mapping test cases to requirements.
Prioritizing test cases for automation.
Reviewing generated test cases for duplicates and missing coverage.
How AI Helps Developers Work 10× Faster
AI can generate an initial test case suite from requirements, propose edge cases, and prepare clarification questions. This allows testers to spend more time reviewing test quality instead of creating every test case manually.
What you'll build
- Generate test cases for login, registration, and password reset.
- Ask AI to identify edge cases for a payment amount field.
- Generate clarification questions for an incomplete registration requirement.
- Create test data for valid and invalid login attempts.
- Review AI-generated test cases and identify missing scenarios.
By the end: Generate comprehensive test case drafts faster. Identify unclear requirements before coding. Reduce duplicate test cases. Improve test coverage and test data preparation.
Learn how AI can help design a maintainable automation framework and select appropriate tools, reusable components, project structures, and execution workflows.
Topics covered
Fundamentals of test automation architecture.
Selecting Selenium or Playwright based on project needs.
Choosing Python or JavaScript for the test framework.
Understanding pytest and Playwright Test.
Designing Page Object Model structures.
Planning fixtures and reusable utilities.
Separating test logic, test data, configuration, and reporting.
Designing API and UI test layers.
Planning browser and environment configuration.
Defining logging, screenshots, and debugging support.
Designing CI test execution with GitHub Actions.
Evaluating maintainability, execution speed, and reliability.
Generating framework diagrams and initial project structures using AI.
How AI Helps Developers Work 10× Faster
AI can suggest project structures, generate boilerplate files, create reusable helper functions, and explain architectural trade-offs. This reduces setup time while allowing developers to focus on requirements and framework quality.
What you'll build
- Ask AI to design a Selenium framework using Python and pytest.
- Generate a Playwright project structure using JavaScript.
- Create a framework diagram showing test files, page objects, utilities, and reporting.
- Compare two proposed framework designs.
- Ask AI to generate initial configuration files and review them for unnecessary complexity.
By the end: Design automation frameworks more efficiently. Generate initial project structures and reusable components. Understand framework design trade-offs. Establish a foundation for maintainable automation projects.
Use AI to learn Python fundamentals and generate, explain, improve, and debug code required for automated testing.
Topics covered
Variables, data types, operators, and conditions.
Loops, lists, tuples, sets, and dictionaries.
Functions, parameters, and return values.
Exception handling.
File handling and JSON/CSV processing.
Object-oriented programming basics.
Virtual environments and package installation.
Using AI to explain unfamiliar Python syntax.
Generating reusable testing utilities.
Debugging Python errors with AI.
Reviewing generated code for readability and correctness.
How AI Helps Developers Work 10× Faster
AI can explain unfamiliar syntax, generate basic utility functions, suggest fixes for common errors, and help transform repetitive code into reusable functions.
What you'll build
- Generate a Python function to validate expected and actual results.
- Read test data from JSON and CSV files.
- Use AI to explain and fix a Python exception.
- Refactor duplicate code into reusable functions.
- Generate and validate utility functions for test data preparation.
By the end: Write and improve Python code more efficiently for Selenium, pytest, API testing, and automation utilities.
Use AI to accelerate learning and development of the JavaScript and Node.js concepts needed for Playwright and basic backend API testing.
Topics covered
JavaScript variables, types, conditions, and loops.
Arrays, objects, and functions.
Arrow functions and modules.
Promises, `async`, and `await`.
Basic exception handling.
Node.js runtime and npm.
Package installation and dependency management.
`package.json` and project configuration.
Environment variables.
Basic Express.js routes and middleware concepts.
HTTP requests and JSON responses.
Using AI to generate and explain JavaScript code.
Debugging asynchronous execution errors.
How AI Helps Developers Work 10× Faster
AI can generate JavaScript boilerplate, explain asynchronous behavior, suggest fixes for common runtime errors, and create basic endpoints for API testing exercises.
What you'll build
- Ask AI to explain a Promise-based function.
- Convert a simple asynchronous function into `async`/`await` syntax.
- Generate a basic Express.js endpoint returning JSON.
- Use AI to debug a JavaScript error.
- Create a small Node.js project and test its endpoint.
By the end: Understand JavaScript and Node.js fundamentals and use AI to accelerate Playwright script development and basic backend testing. Scope:** This module does not cover frontend frameworks or full stack development.
Use AI to understand web page structure and generate reliable element locators for Selenium and Playwright.
Topics covered
HTML elements and attributes.
DOM fundamentals.
Browser developer tools.
IDs, classes, names, and attributes.
CSS selector generation.
XPath generation and refinement.
Playwright role-based and text-based locators.
Label and placeholder locators.
Dynamic elements and duplicate selectors.
Locator stability and maintainability.
Using AI to explain DOM structures.
Validating generated locators in the browser.
How AI Helps Developers Work 10× Faster
AI can suggest candidate selectors from HTML snippets, explain why a locator fails, and recommend more stable alternatives. Developers must verify that selectors uniquely identify the intended element.
What you'll build
- Provide HTML for a login form and generate selectors.
- Compare CSS and XPath locators for the same element.
- Generate Playwright role-based locators.
- Ask AI to diagnose a selector matching multiple elements.
- Replace a fragile locator with a more reliable one.
By the end: Create and validate stable locators more quickly while reducing locator-related test failures.
Learn how AI can generate Selenium WebDriver scripts and help automate browser interactions.
Topics covered
Selenium WebDriver setup.
Browser initialization and navigation.
Element identification and interaction.
Form entry and button clicks.
Page title and text verification.
Assertions and expected results.
Browser cleanup.
Generating scripts from manual test cases.
Converting repeated browser operations into helper functions.
Reviewing generated Selenium code.
Handling common WebDriver exceptions.
Improving script readability.
How AI Helps Developers Work 10× Faster
AI can convert written test steps into initial Selenium scripts, generate common interactions, and explain WebDriver errors. This reduces repetitive coding while leaving validation and debugging to the developer.
What you'll build
- Generate a Selenium script from a login test case.
- Automate a search form.
- Generate assertions for a page title and confirmation message.
- Ask AI to explain and fix a failing element lookup.
- Refactor generated code into reusable functions.
By the end: Generate, understand, and improve Selenium automation scripts faster.
Use AI to implement and debug Selenium interactions involving dynamic content, waits, browser windows, frames, and other complex elements.
Topics covered
Explicit and implicit waits.
What you'll build
- Ask AI to fix a test failing because an element loads late.
- Automate a dropdown and confirmation dialog.
- Generate a helper function for explicit waits.
- Debug a stale element exception.
- Capture screenshots automatically when a test fails.
By the end: Develop more reliable Selenium scripts and reduce time spent diagnosing common browser automation failures.
Use AI to create structured Python test suites and improve test organization using pytest.
Topics covered
pytest installation and configuration.
Test naming conventions.
Assertions and test discovery.
Fixtures and setup/teardown.
Parameterized tests.
Markers and selective execution.
Test data integration.
Exception handling.
Reusable setup functions.
Selenium integration with pytest.
AI-assisted test refactoring.
Identifying missing assertions and duplicate tests.
How AI Helps Developers Work 10× Faster
AI can convert standalone scripts into pytest tests, suggest fixtures, parameterize repetitive scenarios, and help diagnose failed assertions.
What you'll build
- Convert Selenium scripts into pytest tests.
- Generate a fixture for browser setup and teardown.
- Parameterize login tests with multiple data combinations.
- Ask AI to identify duplicate test logic.
- Generate a test execution summary.
By the end: Build organized pytest suites faster and maintain reusable test setup and execution logic.
Use AI to design and implement a maintainable Selenium framework using Page Object Model and reusable utilities.
Topics covered
Framework folder structures.
Page Object Model principles.
Separating locators and test logic.
Page classes and reusable methods.
Browser fixtures.
Configuration management.
Test data management.
Common utilities and wait helpers.
Logging and screenshot utilities.
Error handling.
Framework refactoring.
Reviewing AI-generated architecture and code.
How AI Helps Developers Work 10× Faster
AI can generate initial page classes, reusable functions, and configuration files, reducing boilerplate development. Developers can then refine the implementation to fit the application's behavior and team standards.
What you'll build
- Generate a page object for a login page.
- Create a reusable browser fixture.
- Separate test data from automation logic.
- Refactor duplicated Selenium scripts.
- Ask AI to review the framework for maintainability.
By the end: Build a reusable Selenium framework more efficiently and reduce repetitive implementation work.
Use AI to accelerate Playwright test creation, explain its APIs, and generate browser automation scripts using JavaScript.
Topics covered
Playwright installation and configuration.
Playwright Test structure.
Browser, context, and page concepts.
Locators and assertions.
Navigation and user interactions.
Auto-waiting.
Test hooks and fixtures.
Headless and headed execution.
Test configuration.
Generating tests from manual scenarios.
Reviewing AI-generated Playwright code.
Debugging failed tests.
How AI Helps Developers Work 10× Faster
AI can generate initial Playwright test files, convert manual steps into browser actions, suggest assertions, and explain errors. This helps developers move from requirements to executable tests faster.
What you'll build
- Generate a Playwright test for a login workflow.
- Ask AI to convert manual test steps into JavaScript code.
- Generate assertions for page content.
- Debug a failed locator.
- Improve a test using reliable locators and web-first assertions.
By the end: Create and debug Playwright JavaScript tests more efficiently.
Use AI to automate more complex Playwright workflows and improve test organization and reliability.
Topics covered
Role-based, text-based, and label locators.
Locator filtering and chaining.
Web-first assertions.
Fixtures and test hooks.
Test isolation.
Parameterized and data-driven testing.
Dialogs, popups, and multiple tabs.
Frames and file uploads.
Browser projects and cross-browser testing.
Retries and timeouts.
Parallel execution.
AI-assisted debugging and test refactoring.
How AI Helps Developers Work 10× Faster
AI can suggest better locators, generate fixtures, convert repeated scenarios into reusable components, and explain flaky tests.
What you'll build
- Generate a test using role-based locators.
- Automate a multi-step workflow with reusable fixtures.
- Ask AI to diagnose a flaky Playwright test.
- Configure a test suite for multiple browsers.
- Refactor repeated test steps into reusable functions.
By the end: Create maintainable Playwright suites with reliable locators, reusable setup, and efficient execution.
Use AI to create Playwright browser tests in Python and integrate them with pytest.
Topics covered
Installing Playwright for Python.
Browser and page management.
Synchronous and asynchronous APIs.
Locators and assertions.
Form interactions.
Dynamic content handling.
pytest integration.
Browser fixtures.
Screenshots and traces.
Test data integration.
Debugging Python Playwright tests.
Comparing Selenium Python and Playwright Python.
How AI Helps Developers Work 10× Faster
AI can generate Python Playwright scripts, convert test cases into code, explain API differences, and help migrate suitable test scenarios from Selenium.
What you'll build
- Generate a Playwright Python test from a login requirement.
- Integrate Playwright with pytest.
- Ask AI to convert a suitable Selenium test to Playwright Python.
- Capture a screenshot and trace for a failed test.
- Compare the maintainability of both implementations.
By the end: Develop Playwright automation using Python and use AI to reduce repetitive test implementation work.
Use AI to understand API specifications and generate test cases for validating backend services.
Topics covered
HTTP and REST API fundamentals.
HTTP methods and status codes.
Headers, query parameters, and request bodies.
JSON request and response structures.
Authentication and authorization basics.
Positive and negative API testing.
Boundary and invalid-input testing.
API requirement analysis.
Generating API test cases from specifications.
Identifying missing validation scenarios.
Reviewing expected results and error conditions.
How AI Helps Developers Work 10× Faster
AI can generate API test scenarios from endpoint descriptions, propose invalid inputs, and identify response fields that require validation.
What you'll build
- Generate test cases for GET, POST, PUT, PATCH, and DELETE endpoints.
- Create negative scenarios for invalid request payloads.
- Generate expected status codes and response validation checks.
- Review API tests for missing authorization and validation scenarios.
By the end: Generate comprehensive API test case drafts more efficiently and improve backend test coverage.
Use AI to generate and improve automated API tests using Python Requests and pytest.
Topics covered
Sending HTTP requests with Python Requests.
Request headers, parameters, and JSON payloads.
Response validation and assertions.
Reusable API client functions.
Authentication tokens.
Environment-specific base URLs.
Parameterized API testing.
Error and timeout handling.
Data-driven API tests.
pytest fixtures for API configuration.
AI-assisted code generation and debugging.
Test reports and failure analysis.
How AI Helps Developers Work 10× Faster
AI can generate request code, assertions, reusable API functions, and negative test scenarios, reducing repetitive implementation.
What you'll build
- Generate automated tests for sample REST endpoints.
- Validate JSON responses and status codes.
- Ask AI to fix a failing response assertion.
- Create a reusable API helper module.
- Run parameterized API tests using pytest.
By the end: Build reusable API automation suites faster and validate backend behavior independently of browser tests.
Use AI to create API tests with Playwright and validate basic Node.js backend endpoints.
Topics covered
Playwright API request contexts.
Sending HTTP requests through Playwright.
Validating status codes and response bodies.
Headers, parameters, and JSON payloads.
Authentication handling.
Positive and negative API scenarios.
Understanding basic Express.js endpoints.
Testing HTTP request and response behavior.
Sharing suitable test data between API and UI tests.
Comparing Playwright API testing with Python Requests.
AI-assisted debugging of backend test failures.
How AI Helps Developers Work 10× Faster
AI can generate Playwright API test code, create response assertions, and explain common backend errors. It can also help developers choose between different API testing approaches.
What you'll build
- Generate Playwright API tests for sample endpoints.
- Validate successful and unsuccessful responses.
- Test a basic Express.js endpoint.
- Ask AI to diagnose a failed API assertion.
- Compare the same API test written with Playwright and Python Requests.
By the end: Automate backend API checks using Playwright and understand how to validate endpoints without opening a browser.
Use AI to generate test data, manage configuration, and improve the reusability and security of automated test suites.
Topics covered
Static and dynamic test data.
Generating valid and invalid input combinations.
JSON and CSV test data.
Data-driven testing.
Environment variables.
Configuration files.
Environment-specific URLs.
Unique test data generation.
Test data cleanup.
Managing credentials and tokens securely.
Avoiding test dependencies.
Using AI to identify missing data scenarios.
Validating generated test data.
How AI Helps Developers Work 10× Faster
AI can generate data combinations, create reusable data-loading functions, and identify missing edge cases. This reduces manual test data preparation.
What you'll build
- Generate valid and invalid registration data.
- Create a JSON file containing multiple login scenarios.
- Ask AI to identify boundary values for an input field.
- Generate unique test values for repeated executions.
- Refactor hard-coded test data into reusable configuration.
By the end: Prepare test data more efficiently and build tests that are reusable across environments.
Learn how AI can help diagnose automation failures, analyze error messages, identify likely root causes, and recommend fixes.
Topics covered
Common Selenium exceptions.
Common Playwright locator and timeout errors.
Python exceptions and JavaScript runtime errors.
Failed assertions.
Synchronization and timing issues.
Stale elements and unreliable locators.
Test environment and dependency failures.
Application defects versus automation defects.
Analyzing logs, screenshots, and Playwright traces.
Generating root cause hypotheses using AI.
Verifying proposed fixes.
Preventing recurring failures.
How AI Helps Developers Work 10× Faster
Instead of manually searching through documentation and error messages, developers can provide relevant logs and code to AI to obtain likely causes and suggested fixes.
What you'll build
- Provide a failing Selenium script and ask AI to diagnose the error.
- Analyze a Playwright timeout using a trace and relevant code.
- Investigate a failing API assertion.
- Ask AI to identify possible causes of a flaky test.
- Apply a fix and rerun the test to verify the result
By the end: Reduce the time required to investigate test failures and improve automation reliability. Important:** AI-generated root cause explanations are hypotheses. Developers must verify them using logs, traces, reproducible tests, and actual application behavior.
Use AI to summarize test results, prepare defect reports, improve documentation, and identify potential gaps in test coverage.
Topics covered
Understanding automated test reports.
pytest and Playwright HTML reports.
Summarizing passed, failed, and skipped tests.
Analyzing failure patterns.
Generating defect reports.
Documenting reproduction steps.
Summarizing screenshots, logs, and traces.
Mapping tests to requirements.
Identifying untested requirements.
Generating README files and setup instructions.
Preparing release testing summaries.
Reviewing AI-generated reports for factual accuracy.
How AI Helps Developers Work 10× Faster
AI can turn execution results into readable summaries, organize failure details, draft defect reports, and identify potential coverage gaps.
What you'll build
- Provide a sample test report and generate an execution summary.
- Convert a failed test log into a draft defect report.
- Generate a README for an automation project.
- Compare requirements with existing tests to identify missing coverage.
- Prepare a concise testing status report for a development team.
By the end: Produce clearer reports and documentation with less manual effort while preserving accurate test evidence.
Use AI to create, explain, debug, and improve GitHub Actions workflows that execute automated tests during code changes.
Topics covered
Git and GitHub fundamentals for test projects.
Repository structure and `.gitignore`.
Git commits, branches, and pull requests.
Introduction to CI/CD.
GitHub Actions workflows and YAML.
Workflow triggers for pushes and pull requests.
Jobs, steps, runners, and dependencies.
Setting up Python and Node.js environments.
Installing dependencies.
Running pytest and Selenium tests.
Running Playwright tests and installing browsers.
Environment variables and repository secrets.
Uploading test reports and screenshots as artifacts.
Analyzing workflow logs.
AI-assisted workflow generation and debugging.
Validating permissions and secret handling.
How AI Helps Developers Work 10× Faster
AI can generate initial workflow YAML, explain unfamiliar configuration, suggest dependency installation steps, and help diagnose failed CI jobs.
What you'll build
- Generate a GitHub Actions workflow for pytest.
- Create a Playwright workflow using Node.js.
- Ask AI to diagnose a workflow failure from its logs.
- Upload test reports and screenshots as artifacts.
- Configure tests to run automatically on pull requests.
By the end: Create and maintain basic GitHub Actions workflows. Execute automated tests during code changes. Diagnose common CI failures with AI assistance. Produce test reports that developers can review. Scope:** The focus is continuous integration and automated test execution, not advanced production deployment.
Use AI to review, refactor, and optimize automation frameworks while improving code quality, execution efficiency, and maintainability.
Topics covered
AI-assisted code reviews.
Identifying duplicate test logic.
Refactoring repeated functions.
Improving Page Object Model design.
Reviewing locators and assertions.
Identifying unnecessary waits and retries.
Test isolation and parallel execution.
Reducing flaky tests.
Optimizing execution time.
Reviewing configuration and test data handling.
Detecting hard-coded credentials and insecure practices.
Checking maintainability and readability.
Evaluating AI-generated code before merging.
Measuring automation reliability and execution performance.
How AI Helps Developers Work 10× Faster
AI can review large amounts of code, highlight duplication, propose refactoring, and explain performance problems. Developers can use these suggestions to improve the framework without manually inspecting every repeated pattern.
What you'll build
- Ask AI to review an existing Selenium or Playwright project.
- Refactor duplicate functions into shared utilities.
- Identify unnecessary waits and replace them with suitable synchronization.
- Review a GitHub Actions workflow for reliability and security.
- Compare test execution before and after optimization.
By the end: Build cleaner and more maintainable automation frameworks, reduce repetitive code, and improve execution reliability.
Build an end-to-end automated testing project that demonstrates how AI can accelerate requirement analysis, test design, automation development, debugging, reporting, and CI execution.
Topics covered
AI-assisted requirement analysis.
Test case and test data generation.
Framework design and project setup.
Selenium with Python and pytest.
Playwright with JavaScript or Python.
API testing with Python Requests or Playwright.
Reusable test utilities and configuration.
Debugging and failure analysis.
Screenshots, traces, and reports.
Git and GitHub repository management.
GitHub Actions workflow setup.
AI-assisted code review and optimization.
What you'll build
- Provide the application requirements to an AI assistant.
- Generate initial test scenarios and identify missing requirements.
- Review and finalize the test cases.
- Automate selected login, search, form submission, and validation scenarios.
- Use pytest and Page Object Model.
- Use AI to generate initial scripts and improve reusable components.
- Automate selected workflows using Playwright.
- Use reliable locators and assertions.
- Generate reports and debugging artifacts.
- Automate relevant backend API tests.
- Validate response codes, response bodies, and error handling.
- Use Python Requests or Playwright API testing.
- Task 5: AI-Assisted Debugging
- Investigate deliberately introduced test failures.
- Use AI to identify likely root causes.
- Verify fixes by rerunning tests and checking the evidence.
- Task 6: CI Integration
- Push the project to GitHub.
- Use AI to help create a GitHub Actions workflow.
- Configure automated test execution.
- Upload reports and relevant debugging artifacts.
- Verify successful execution after a code change.
- Task 7: Final Review
- Ask AI to review the automation framework.
- Identify duplicate code, missing assertions, and test coverage gaps.
- Verify recommendations before making changes.
- Document limitations and improvements.
By the end: Learners will produce a practical automated testing project that demonstrates their ability to: Use AI to accelerate test planning and automation development. Build Selenium and Playwright tests. Automate API validation. Debug test failures. Generate execution reports. Run automated tests through GitHub Actions. Review AI-generated code and validate its correctness.
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
E-Commerce Web Application End-to-End Automation Suite
Complete regression automation of product search, shopping cart, multi-step checkout, coupon validation, and session states.
Selenium WebDriverPythonpytestAllure ReportingGit
Live client project
Enterprise Employee Portal API & UI Validation Platform
Dual-layer testing verifying frontend forms alongside backend REST APIs, authentication tokens, and database integrity.
PlaywrightNode.jsRequestsPostgreSQLGitHub Actions
Live client project
FinTech Payment Gateway & Transaction Validation Engine
Data-driven boundary value analysis, mock API gateway responses, idempotent transaction verification, and security testing.
pytestPythonAPI MockingPostmanJSON Schema
Live client project
Cloud SaaS Cross-Browser & Headless CI/CD Pipeline
Parallel cross-browser execution on Chromium, Firefox, and WebKit in headless containers triggered automatically upon pull request creation.
PlaywrightDockerGitHub ActionsAllurePython
Everything included in your enrollment
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All 4 programs: internship + career course + industry projects + AI development✓
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Internship + course certificate from WhiteandBox.com✓
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Letter of Recommendation (performance-based)✓
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Digital certificate with QR code verification✓
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1:1 daily mentorship from senior developers✓
Remote, hybrid, or in-office at BangaloreCareer-Ready Automated Software Testing 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
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