Software Testing & QA Automation Course with AI tools

Module 1: Introduction to Software Testing & QA

• • What is software testing, quality assurance and quality control?
• • Why software defects occur and how testing reduces risk.
• • Error, defect, bug, failure and root cause.
• • Roles of QA testers, developers, business analysts and product owners.
• • Software Development Life Cycle (SDLC).
• • Software Testing Life Cycle (STLC).
• • Agile, Scrum and Waterfall fundamentals.
• • Testing environments: development, staging and production.
• • Introduction to AI-assisted testing and responsible use.

Module 2: Manual Testing Fundamentals

• • Functional and non-functional testing.
• • Smoke, sanity, regression and retesting.
• • Integration, system and acceptance testing.
• • Positive and negative testing.
• • Exploratory testing and checklist-based testing.
• • Black-box testing and basic white-box concepts.
• • Static testing and requirement reviews.
• • Test strategy, test planning and test execution.
• • Writing clear test scenarios and expected results.

Module 3: Test Case Design & Test Documentation

• • Requirement analysis and testable acceptance criteria.
• • Test scenarios, test cases and test data.
• • Equivalence partitioning.
• • Boundary value analysis.
• • Decision tables and state transition testing.
• • Pairwise testing and risk-based prioritization.
• • Requirement traceability matrix (RTM).
• • Test execution reports and evidence collection.
• • AI-assisted test case drafting and human review.

Module 4: Defect Reporting & Test Management

• • Defect lifecycle and defect status management.
• • Severity versus priority.
• • Writing reproducible bug reports.
• • Steps to reproduce, expected result and actual result.
• • Screenshots, screen recordings, logs and supporting evidence.
• • Root-cause investigation and defect triage.
• • Jira issues, test tasks, sprint boards and bug tracking.
• • Regression planning and release sign-off.
• • Test metrics, defect density and defect leakage concepts.

Module 5: Web Technology Fundamentals for Testers

• • How browsers, servers and web applications work.
• • HTML forms, inputs, buttons, links and page elements.
• • CSS selectors and browser developer tools.
• • HTTP, HTTPS, requests, responses and status codes.
• • Cookies, sessions, local storage and browser caching.
• • DOM fundamentals and inspecting web elements.
• • Cross-browser and responsive testing.
• • Basic accessibility and usability checks.
• • Debugging browser console and network errors.

Module 6: SQL & Database Testing

• • Database tables, columns, keys and relationships.
• • SELECT, WHERE, ORDER BY and filtering.
• • Aggregate functions and GROUP BY.
• • JOINs and subqueries.
• • Validating records created by application workflows.
• • Data integrity, constraints and NULL handling.
• • Comparing UI results with database records.
• • Testing inserts, updates and deletes.
• • AI-assisted SQL generation with result verification.

Module 7: API Testing with Postman

• • REST API fundamentals and HTTP methods.
• • GET, POST, PUT, PATCH and DELETE.
• • Headers, parameters, request bodies and JSON.
• • HTTP status codes and response validation.
• • Authentication tokens and authorization checks.
• • Positive, negative and boundary API testing.
• • Postman environments, variables and collections.
• • Basic JavaScript assertions in Postman.
• • Chaining API requests and testing business workflows.
• • API documentation and test evidence.

Module 8: JavaScript Fundamentals for Test Automation

• • Variables, data types and operators.
• • Conditions, loops and functions.
• • Arrays, objects and common array methods.
• • Scope, modules and reusable functions.
• • Promises, async/await and asynchronous operations.
• • Exception handling and debugging.
• • npm, package.json and dependency installation.
• • Basic TypeScript types and interfaces.
• • Reading and modifying AI-generated test code safely.

Module 9: Browser Automation with Playwright

• • Playwright installation and project configuration.
• • Browser, page and context concepts.
• • Locators, roles, labels and text-based selectors.
• • Assertions and automatic waiting.
• • Handling forms, dropdowns, dialogs and tables.
• • Login, search, navigation and checkout automation.
• • Screenshots, videos, traces and debugging.
• • Browser projects and cross-browser execution.
• • Avoiding flaky tests and unreliable fixed waits.

Module 10: Building a Maintainable Automation Framework

• • Test suites, test organization and configuration.
• • Fixtures, setup and teardown.
• • Page Object Model and reusable page components.
• • Test data management and environment configuration.
• • Authentication state and test isolation.
• • Parameterized and data-driven testing.
• • Tags, retries and test selection.
• • HTML reports and failure evidence.
• • Framework structure, naming conventions and maintainability.

Module 11: AI-Assisted Testing & QA Productivity

• • Using ChatGPT, Claude, Copilot and Cursor for QA tasks.
• • Generating test scenarios from requirements.
• • Creating edge cases and negative test cases.
• • Drafting Playwright tests and Postman assertions.
• • Explaining error messages and stack traces.
• • Reviewing generated selectors and assertions.
• • AI-assisted defect summaries and test reports.
• • Checking for missing assertions and false positives.
• • Privacy, confidential test data and safe prompt practices.
• • Keeping human review and actual test execution mandatory.

Module 12: Advanced API Automation & Security Testing

• • API automation using Playwright APIRequestContext.
• • Request setup, response assertions and test data preparation.
• • Authentication, authorization and access-control checks.
• • Schema and data validation.
• • Negative tests, invalid inputs and rate-limit behavior.
• • Testing pagination, filtering and sorting.
• • Detecting common web security weaknesses in authorized environments.
• • Avoiding exposure of tokens, passwords and sensitive data in logs.
• • API test automation in reusable suites.

Module 13: Git, CI/CD & Automated Test Execution

• • Git basics, commits, branches and pull requests.
• • GitHub repositories and collaborative workflows.
• • GitHub Actions fundamentals.
• • Running tests on code pushes and pull requests.
• • Installing browser dependencies in CI.
• • Test reports, screenshots and trace artifacts.
• • Environment variables and secret management.
• • Debugging failed CI runs.
• • Running regression suites before releases.
• • Understanding test stability and execution time.

Module 14: Performance, Accessibility & Cross-Browser Testing

• • Performance testing concepts and response-time measurements.
• • Load, stress and endurance testing fundamentals.
• • Introduction to k6 or an equivalent performance tool.
• • Accessibility checks and keyboard navigation.
• • Browser and device coverage strategies.
• • Responsive design testing.
• • Reliability, flaky tests and intermittent failures.
• • Basic monitoring and test environment diagnostics.
• • Selecting test coverage based on business risk.

Module 15: Industry QA Project & Release Testing

• • Analyze application requirements and release scope.
• • Prepare a risk-based test plan.
• • Write and execute manual test cases.
• • Report and track defects in Jira.
• • Automate critical user journeys with Playwright.
• • Validate APIs and database records.
• • Run smoke and regression suites.
• • Integrate automation into CI/CD.
• • Review results and prepare a release-readiness report.

Module 16: Portfolio, Interview & Industry Readiness

• • Organize the QA portfolio and automation repository.
• • Prepare test plans, test cases and defect reports.
• • Explain the automation framework and design choices.
• • Practice manual testing and test design interview questions.
• • Solve SQL and API testing exercises.
• • Debug failed Playwright tests during mock interviews.
• • Present a capstone project and explain test coverage.
• • Prepare a QA-focused resume and professional profile.
• • Introduction to ISTQB Foundation Level preparation.

Why should you learn Software Testing & QA Automation?

Software Testing & QA Automation helps you understand how to identify bugs, improve software quality and ensure applications work correctly. It is a practical IT career path for freshers who want to enter the software industry and develop skills in both manual and automated testing.

Will AI replace Software Testing & QA jobs in the future?

AI is changing software testing, but it does not mean QA jobs will disappear completely. AI tools can automate repetitive test cases, generate test scripts and identify potential defects. However, businesses still need skilled QA professionals to understand requirements, investigate complex issues, validate AI-generated results and ensure software quality. Learning Manual Testing, Automation Testing, API Testing and AI-powered testing tools can help you prepare for the evolving QA job market.

What is the difference between Manual Testing and Automation Testing?

Manual Testing involves checking software functionality by executing test cases manually, while Automation Testing uses scripts and tools to execute repeatable tests. Learning both helps you understand the complete testing process and prepares you for a wider range of QA responsibilities.

Will learning AI tools help me in Software Testing?

Yes. AI tools can assist with generating test cases, explaining errors, creating test data, drafting automation scripts and analysing test results. Learning to verify AI-generated outputs alongside traditional testing techniques can help you work more efficiently.

What career opportunities can I pursue after learning Software Testing & QA Automation?

You can work towards roles such as Software Tester, QA Engineer, Manual Test Engineer, Automation Test Engineer, API Tester or Quality Assurance Analyst. Your opportunities will depend on your practical skills, project experience and the requirements of individual employers