What you'll learn:
- Apply Prompt Engineering techniques to improve QA test case generation
- Build a complete Playwright test project with GitHub Copilot, and apply the same workflow to Selenium
- Build AI agents and MCP integrations for QA automation workflows
- Generate test plans, test cases, and test data using LLM tools
- Apply Generative AI across the full software testing lifecycle — planning, execution and reporting
- Integrate Playwright MCP into AI powered test automation
- Run local LLM models privately with Ollama inside GitHub Copilot and Claude Code
- Install and configure MCP servers to connect AI agents to real testing tools
- Set up Chrome DevTools MCP and AWS Documentation MCP to give AI agents real tool access
- Design reusable prompt patterns for test case generation, test data and bug reports
Are you a QA engineer, automation tester, or manual tester ready to future-proof your career? This is a practical, tool-first guide to AI testing, built specifically for the software testing profession.
Whether you're exploring AI-powered testing for the first time or looking to level up with tools like GitHub Copilot and Claude Code, this course gets you productive with GenAI for QA — working with the same tools you'll use on Monday morning.
This is a build-along course. Every section has you working in your own editor — there are no slide decks to sit through. You get 30 downloadable resources: prompt libraries, MCP server configs, CLAUDE md templates and working Playwright projects you can drop straight into your own repo. Three Role Play exercises let you practice prompting against realistic testing scenarios rather than toy examples.
What you will learn
Use GitHub Copilot for test automation — generate test cases, review code, and build a full Playwright project with AI assistance
Use Claude Code for QA automation — create test plans, write AI-powered tests, and configure your workflow with CLAUDE md
Master Playwright MCP — the most powerful combination of Agentic AI and test automation available today
Learn Prompt Engineering for QA — principles, patterns, and mistakes that define expert prompting
Connect AI agents to real tools with MCP servers: Chrome DevTools, AWS documentation, and databases
Run local LLMs privately with Ollama inside GitHub Copilot and Claude Code
Who this is for
QA engineers and automation testers who want to work smarter with AI
Manual testers moving into AI-assisted or automated testing
Test leads evaluating GenAI tools for their teams
Anyone exploring Generative AI for software testing in a practical, tool-first way
No prior AI experience needed.
Tools covered
GitHub Copilot, Claude Code, Playwright, Playwright MCP, Chrome DevTools MCP, AWS Documentation MCP, Ollama, and core Prompt Engineering techniques.
Most AI testing courses are too theoretical or focused on a single tool. This course covers the full landscape of GenAI for QA — from prompt engineering fundamentals to Agentic AI and MCP servers — with real hands-on projects throughout.
Enrol now and start using GitHub Copilot, Claude Code, and Playwright MCP to transform how you test software.
