Master AI Powered Test Automation – AI Agents, MCPs, LLMs

Learn Prompt Engineering, GitHub Copilot, Playwright MCP, AI Agents & LLMs to supercharge your QA test automation

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
✓ Create n8n automation workflows powered by AI agents and LLMs
✓ Integrate Playwright MCP into AI powered test automation

Requirements
● Basic programming and AI usage.

Description
Are you a QA engineer, manual tester, or automation tester looking to harness the power of Generative AI in your daily work? This course gives you a practical, hands-on path from AI fundamentals to building AI-powered test automation workflows.

What you’ll learn

• How AI tools like ChatGPT, Google Gemini, and DeepSeek can assist every aspect of your QA process — from test case generation and code assistance to test data creation and brainstorming

• Prompt Engineering techniques specifically tailored for testing: efficient prompt principles, constraints, context engineering, prompt patterns, and common mistakes to avoid

• Hands-on coding with GitHub Copilot and Playwright: project setup, test strategy generation, test review, Page Object Model, and the Playwright MCP integration

• Understanding AI agents, MCPs, and LLMs and how they apply to test automation with tools like Selenium, Cypress, and TestRigor

• Recognizing AI limitations so you can use these tools effectively and responsibly

Who this course is for
■ QA engineers and testers who want to leverage the power of AI into their work

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