That is not a disclaimer — it is part of the point. The slides and the voice narrating the lectures were produced with AI tools, but every script was written and fact-checked by a human instructor with real hands-on experience. Think of the AI as the production crew; the teaching is human. Two testers get the exact same AI tool. One gets vague, half-wrong answers and says “AI isn’t useful for testing.” The other gets sharp, specific help that saves an hour a day. Same tool. Completely different results. The entire difference is how they asked. That skill is learnable — and testers are naturally good at it.
What you will learn:
Prompt Engineering for Testers is the hands-on craft of asking AI so it reliably delivers. You’ll learn how AI reads your prompts, and the anatomy of a great one — role, context, specifics, format, examples. You’ll get ready-made prompt patterns for real tasks: generating test cases, reviewing requirements, creating data, writing bug reports. And you’ll build your own prompt library, so your best prompts become permanent assets.
What this course covers, module by module:
Why Prompting Is a Tester’s Skill; How LLMs Read Your Prompt; The Anatomy of a Great Prompt; Be Specific; Give Context; Show Examples; Control the Output Format; Prompt Patterns for Testers; Iterate & Refine; Advanced Techniques; Prompting for Both Halves; Pitfalls & Anti-Patterns; Build Your Prompt Library.
