• views: 159
• date: 27 March 2026
• posted by: 0nelove

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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