🧪AI for QA & Testing
Automate testing with AI — from test generation through visual regression to complete QA workflows.
What you'll learn
- Understand the capabilities and limits of AI in testing
- Generate unit and integration tests with AI
- Set up visual regression testing with AI tools
- Build E2E tests with Playwright and AI assistance
- Generate realistic test data and edge cases
- Integrate AI-assisted tests into CI/CD pipelines
- Create complete QA workflows including browser-based testing
Who this is for
QA engineers, developers, test leads, and anyone who wants to streamline testing processes with AI.
Prerequisites
Syllabus
AI Testing Tools Overview
What AI can test and what it cannot. Tools: Copilot for tests, Claude for test generation, Playwright + AI.
Generating Tests with AI
Unit tests, integration tests. Prompt patterns for test generation. Coverage analysis.
Visual Regression Testing
Screenshot comparison. Agent-browser for visual QA. Detecting layout shifts and broken responsive design.
E2E Testing with AI Assistance
Playwright test generation. Self-healing selectors. Test maintenance with AI.
Test Data Generation
Fixtures, factories, realistic fake data. AI for edge case discovery. Property-based testing.
CI/CD Integration
Running AI-assisted tests in pipelines. Flaky test detection. Test result analysis with AI.
Complete QA Workflows
The QA skill pattern. Browser-based QA scripts. Regression testing after every deploy. Building a QA culture with AI.
We also offer live workshops and custom training for teams.
Learn more about team training