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AI-Powered Test Automation with Playwright
New
10 students

AI-Powered Test Automation with Playwright

Build Resilient Playwright tests, Self-healing AI agents, AI Test Generation, and CI/CD Failure Triage for Modern QA
Created byAzeem Ullah
Last updated 7/2026
English

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

4 sections11 lectures34m total length
  • Welcome & How to Take This Course2:35

    How the course is organized: four sections that build on each other, from Playwright foundations to a full AI QA assistant. Three tips for getting the most out of it: watch in order, pause and try things, and ship one improvement to your team every week while you learn.

  • Real Cost of Broken Testing4:09

    A true story of a release that went wrong. What manual, traditional-automation, and AI-assisted testing each do to release time, the hidden cost of the bugs that slip through, and the dirty secret of test automation: maintenance. Ends with the step-by-step roadmap for our journey.

  • Playwright Fundamentals for Modern Web Apps4:37

    Hands-on with Playwright, the engine that powers everything else in this course. The architecture in one picture, your first real test explained line by line, the same test seen from the browser's point of view, and the payoff when you run it.

Requirements

  • Basic JavaScript or TypeScript (you can read a simple function). No prior testing or AI experience needed — everything is explained from scratch
  • A computer that can run Node.js and VS Code. All tools used in the course are free

Description

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.

Who this course is for:

  • QA engineers and manual testers who want to move into automation and stay ahead of the AI shift in testing
  • Developers tired of flaky end-to-end tests who want a test suite that maintains itself
  • Test automation engineers curious how AI agents actually fit into a real QA workflow, beyond the hype