AI / ML TestingBestsellerAll Levels
AI-Driven Software Testing for QA Engineers
Adopt an end-to-end AI-driven testing workflow across planning, authoring, execution and reporting.
- Duration
- 9 hours
- Lectures
- 65
- Level
- All Levels
- Learners
- 300+ students
4 on Udemy (72 ratings)
- GenAI tooling
- Test automation
- Prompt engineering
About this course
The most-loved deep dive — practical AI-driven testing workflows for QA teams ready to modernise.
What you'll learn
- Full AI-driven QA workflow
- 9 hours of hands-on labs
- Modern tooling end-to-end
What you'll build
An AI-assisted test planning and design workflow
AI-generated test cases reviewed against real requirements
An AI-supported reporting and triage routine
Curriculum overview
65 lectures · 9 hours of on-demand video.
01AI in the QA lifecycle
- Where AI genuinely helps
- Where it must not be trusted
02Test design with GenAI
- Prompting for scenarios and edge cases
- Reviewing AI output critically
03Automation & execution
- AI-assisted script authoring
- Maintenance strategy
04Reporting
- Summarising results with AI
- Communicating risk
FAQ
Is this course beginner friendly?
Yes — it is the broadest course in the catalog and assumes no AI background.
Will AI replace testers?
No. The course is about testers who use AI outperforming testers who do not.
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Ready to start AI-Driven Software Testing for QA Engineers?
Lifetime access, 65 lectures, and a project you can put on your CV.