Build Resilient Playwright tests, Self-healing AI agents, AI Test Generation, and CI/CD Failure Triage for Modern QA
We start with foundations: what broken testing actually costs teams, and Playwright from scratch architecture, your first test line by line, and how it looks from the browser’s point of view. Then we make tests survive real-world change with role-based locators, auto-waiting, and fixtures, and we cure flaky tests at the root: all five causes, each with a one-to-two-line fix.
What you’ll learn
- Build reliable Playwright tests using resilient locators, auto-waiting, and fixtures that don’t break with every UI change.
- Diagnose and cure flaky tests, and understand why traditional test suites quietly rot as your app evolves.
- Use AI agents to self-heal broken tests, generate test cases from requirements, and drive exploratory testing with Playwright MCP.
- Set up CI/CD pipelines with AI-powered failure triage that tells you what broke and why, instead of a wall of red.
- Complete a capstone project: an end-to-end AI QA assistant that writes, repairs, and runs tests for a real web app.
Course Content
- Foundations –> 3 lectures • 11min.
- Playwright in Practice –> 2 lectures • 6min.
- AI Agents for QA –> 4 lectures • 12min.
- Real-World Integration –> 2 lectures • 6min.
Requirements
We start with foundations: what broken testing actually costs teams, and Playwright from scratch architecture, your first test line by line, and how it looks from the browser’s point of view. Then we make tests survive real-world change with role-based locators, auto-waiting, and fixtures, and we cure flaky tests at the root: all five causes, each with a one-to-two-line fix.
Then the heart of the course: AI agents for QA. You’ll learn what an agent really is (no hype, no magic), then put agents to work on the three highest-value jobs in testing: self-healing tests that repair their own locators and open a pull request for review, generating runnable test specs directly from user stories, and agent-driven exploratory testing with Playwright MCP, where you give the agent a mission instead of a script.
Finally, we make it pay off in production: a CI/CD pipeline with an AI triage brain that classifies every failure as a real bug, a flake, or an environment issue and routes it automatically. The capstone assembles everything into a complete AI QA assistant, and you leave with the adoption staircase: the exact order to introduce each capability at your company. By the end of the course, you’ll have a portfolio-worthy AI-powered QA toolkit you can use at work from day one.