Testing AI isn't pass or fail. It's evaluation under uncertainty.
A step-by-step path for QA engineers moving into RAG, AI chatbots, and AI pipelines. Start with a 90-second assessment, follow the stages built on your gaps, and leave with a concrete action plan and free courses to match.
Assess where you are
Rate your current comfort with each capability. Be honest — the path and action plan are built directly from these answers. No sign-up, nothing leaves your browser.
Your starting line
The path, stage by stage
Seven stages, ordered along the spectrum — from the deterministic habits you already own, to the probabilistic evaluation that AI systems demand. Open any stage. Tick "I've got this" as you go; your action plan updates live.
Your action plan
Not more theory — the three things to do this week, mapped to your first open stage, plus the free courses that close your specific gaps.
Finish the assessment above and your personalised plan appears here.
This week
Every course listed is free to start (some offer paid certificates or graded assignments). Links open the provider's current course page — availability and titles occasionally change, so confirm the free option before enrolling. Verified against DeepLearning.AI, Coursera, Hugging Face and Class Central listings, July 2026.
Test what thinks back.
Building AI quality skills for your team, or navigating the move yourself? I coach engineers and QA leaders through exactly this transition.