Self-paced course • 4–5 hours • Practical, sprint-based
Practical AI for QA & Test Automation Engineers
Learn how to use AI safely and effectively inside Agile teams—requirements, test design, automation, debugging, and communication—starting from your next sprint.
QA Engineers in Agile teams
Use AI to clarify requirements, design better tests, and communicate risks early.
SDETs / Automation Engineers
Generate test skeletons, refactor flaky tests, and debug failures faster—without blind trust.
Anyone owning quality
Build safe, repeatable AI workflows that help you deliver under sprint pressure.
What you’ll be able to do
- Turn vague user stories into test scenarios, risks, and missing acceptance criteria.
- Accelerate exploratory testing with AI-generated charters and edge-case thinking.
- Use AI to assist automation without creating flaky, unmaintainable tests.
- Debug failures faster with AI-assisted log/trace analysis.
- Write clearer bug reports and test summaries that devs and stakeholders trust.
Start with Module 1
Build strong foundations first—avoid hallucinations, bad prompts, and unsafe usage.