Generative AI & AI Agents for QA: Complete SDET Masterclass

About this course

QA is changing fast, and if you've been in the field for any amount of time, you've probably already felt it. The test scripts that used to be your bread and butter? They're not enough anymore. The engineers who thrive in the next few years won't just be the ones who know how to automate. They'll be the ones who know how to build systems that automate the automation.

That's exactly what this course is about.

This course isn't a "prompt ChatGPT to write your test cases" tutorial. It's a hands-on, ground-up guide to embedding Generative AI into the way you actually work, from the first requirement to the final bug report. You'll build production-grade test suites and set up AI agents that can read requirements, write code, chase down failures, and file bugs without you babysitting them.

Along the way, you'll get real experience with tools that are already reshaping the industry: GitHub Copilot for rapid scripting, Claude Code for refactoring entire codebases straight from your terminal, and n8n for wiring together AI-powered testing workflows that would've seemed like science fiction two years ago. You'll also go deep on the Model Context Protocol (MCP), one of the most exciting developments in AI right now, which lets you connect large language models directly to your testing tools and environments.

By the time you're done, you won't just be someone who uses AI to test software. You'll be someone who builds the agents doing the testing.

That's a very different career trajectory.

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