Gen AI for QA: Test Automation with Claude & GitHub Copilot

<div>Are you a QA engineer, automation tester, or manual tester ready to future-proof your career? This course is the most practical, hands-on guide to AI testing available — built specifically for the software testing profession.</div><div><br></div><div>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 takes you from zero to confident in GenAI for QA.</div><div><br></div><div>What you will learn</div><div><ul><li><span style="font-size: 1rem;">Use GitHub Copilot for test automation — generate test cases, review code, and build a full Playwright project with AI assistance</span></li><li><span style="font-size: 1rem;">Use Claude Code for QA automation — create test plans, write AI-powered tests, and configure your workflow with CLAUDE md</span></li><li><span style="font-size: 1rem;">Master Playwright MCP — the most powerful combination of Agentic AI and test automation available today</span></li><li><span style="font-size: 1rem;">Learn Prompt Engineering for QA — principles, patterns, and mistakes that define expert prompting</span></li><li><span style="font-size: 1rem;">Connect AI agents to real tools with MCP servers: Chrome DevTools, AWS documentation, and databases</span></li><li><span style="font-size: 1rem;">Run local LLMs privately with Ollama inside GitHub Copilot and Claude Code</span></li></ul></div><div><span style="font-size: 1rem;">Who this is for</span></div><div><ul><li>QA engineers and automation testers who want to work smarter with AI</li><li><span style="font-size: 1rem;">Manual testers moving into AI-assisted or automated testing</span></li><li><span style="font-size: 1rem;">Test leads evaluating GenAI tools for their teams</span></li><li><span style="font-size: 1rem;">Anyone exploring Generative AI for software testing in a practical, tool-first way</span></li><li><span style="font-size: 1rem;">No prior AI experience needed.</span></li></ul></div><div><span style="font-size: 1rem;">Tools covered</span></div><div><br></div><div>GitHub Copilot, Claude Code, Playwright, Playwright MCP, Chrome DevTools MCP, AWS Documentation MCP, Ollama, and core Prompt Engineering techniques.</div><div><br></div><div>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.</div><div><br></div><div>Enrol now and start using GitHub Copilot, Claude Code, and Playwright MCP to transform how you test software.</div>

What you'll learn:

• Apply Prompt Engineering techniques to improve QA test case generation
• Use GitHub Copilot for testing with Playwright and Selenium projects
• Build AI agents and MCP integrations for QA automation workflows
• Generate test plans, test cases, and test data using LLM tools
• Leverage Generative AI for software testing across your QA process
• Integrate Playwright MCP into AI powered test automation
• Run local LLM models privately with Ollama inside GitHub Copilot and Claude Code
• Apply GenAI for QA across the full testing lifecycle — from planning to execution
• Install and configure MCP servers to connect AI agents to real testing tools