Learning Paths
intermediate
Practical AI in Testing
Hands-on techniques for using AI as a force-multiplier across the testing lifecycle — generating test cases, accelerating automation code, AI-assisted debugging, and where AI-generated tests need human judgment.
+260 XP7h (182m total)15 lessons0 enrolled
What you'll learn
- AI-assisted test case design
- AI pair programming
- Test data generation
- Self-healing automation
- AI-assisted debugging
Curriculum— 5 modules, 15 lessons
Generating Test Cases from Requirements with AIFREE10mUsing AI for Edge-Case and Boundary DiscoveryFREE12m
Exercise — Turn a User Story into a Test Case Set15m
AI Pair Programming for Automation Code12m
Generating Playwright/Selenium Scripts with AI — A Worked Example15m
Code Review Discipline for AI-Generated Automation10m
Synthetic Test Data Generation with AI12m
Self-Healing Locators and AI-Powered Element Detection12m
Visual Regression Testing with AI (Perceptual Diffing)10m
Using AI to Summarize and Root-Cause Failing Test Logs12m
AI-Assisted Flaky Test Triage10m
Exercise — Diagnose a Real Failing Test Log with an AI Prompt15m
The "Trust but Verify" Discipline for AI-Generated Tests10m
Building an AI-Assisted Testing Workflow for Your Team12m
Checkpoint — Practical AI in Testing Review15m