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

About This Course

This course focuses on using generative AI tools to improve software testing and QA automation. It teaches how to apply AI in real testing workflows using modern tools and agent-based automation techniques.

Quick Details

• Rating: 4.9 / 5
• Students: 190
• Duration: 4 Hours
• Language: English
• Certificate: Yes
• Access: Lifetime

What You’ll Learn

• Apply prompt engineering techniques for generating test cases
• Use GitHub Copilot for automation testing with Playwright and Selenium
• Build AI agents and MCP integrations for QA workflows
• Generate test plans, test cases, and test data using AI tools
• Use Playwright for AI-powered testing
• Integrate MCP into automation testing systems
• Run local LLM models using tools like Ollama
• Apply AI across the full testing lifecycle from planning to execution
• Configure MCP servers for connecting AI agents with testing tools

2026-Using Gen AI & AI Agent in Software Automation Testing

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Key Topics Covered

• Generative AI in Testing
• Prompt Engineering
• QA Automation with AI
• MCP Integration
• Playwright Testing
• AI Agents for QA

Why This Course

This course provides practical insights into how AI can transform QA processes. It helps you automate testing tasks and improve productivity using modern AI tools.

Who Should Take This

• QA engineers and testers
• Automation engineers
• Developers involved in testing
• Anyone interested in AI-driven testing

Final Thoughts

A short and practical course for learning AI-based QA automation. It is ideal for professionals who want to enhance testing workflows using generative AI and modern automation tools.