Course overview
Start hereAI for Quality Assurance Testers
START HERE

AI for Quality Assurance Testers (Prompt Course)

20 lessons · 375 prompts

A day in the life of a Quality Assurance Tester: what changes with these prompts.

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Start Now: Turn AI into Your Daily QA Co-Pilot

AI for Quality Assurance Testers (Prompt Course) is a practical, end-to-end program that shows QA professionals how to work side by side with AI to plan, design, execute, and report on testing with more speed and clarity. The course packages a complete set of reusable prompts into a structured learning path covering test case writing, defect reporting, automation support, performance analysis, data preparation, usability and accessibility reviews, security considerations, cross-platform testing, API testing, CI practices, quality metrics, risk focus, and more. You'll learn how to apply AI confidently across the QA lifecycle while keeping accuracy, traceability, and privacy front and center.

What you'll learn

  • Prompt foundations for QA work: how to present context, constraints, acceptance criteria, and success measures so AI responses are useful, auditable, and reproducible.
  • Full lifecycle coverage: from early test design and test data strategies through execution support, bug reporting, and reporting on quality metrics.
  • Automation assistance: ways to accelerate script generation and refactoring, reduce flaky tests, and document automation steps without losing human oversight.
  • Risk-focused thinking: how to guide AI to prioritize by risk, impact, and probability so time is invested where it matters most.
  • Performance and reliability help: approaches for outlining performance scenarios, interpreting logs, and suggesting follow-up checks.
  • Usability and accessibility perspective: structured prompts that highlight heuristics and accessibility guidelines to strengthen product quality.
  • Coverage for web, mobile, and API testing: how to direct AI to consider platform specifics, environments, and integrations.
  • Security awareness: guidance for identifying common weakness areas and proposing practical validation steps.

How this course works

  1. 20 lessonsOne task of your job each, from writing test cases to ai and machine learning in testing.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish with the exam and a certificate for LinkedIn.