Claude Code & AI Playwright Test Automation for QA

What you'll learn

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Use Claude Code to generate reliable Playwright tests from manual scenarios, acceptance criteria, and live app behaviour
Build a complete end-to-end booking-app suite from scratch, with API/network mocking and negative-path coverage
Review AI output like a senior engineer - catch hallucinated selectors, weak assertions, and missing test coverage
Write a Claude ruleset that keeps AI test output consistent, maintainable, and aligned to your project standards
Debug flaky, failing, and false-positive Playwright tests using the trace viewer and a repeatable debugging method
Refactor AI-generated tests into clean Page Objects, fixtures, and helpers that follow real project patterns
Mock API success and failure with page.route() and assert real application state, not cosmetic values
Manage context in Claude Code so test quality holds across a large, growing automation suite
Requirements

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A paid Claude plan that includes Claude Code, such as Claude Pro or higher
Node.js - installation is covered during the course
VS Code, Playwright, and Claude Code are installed and configured during the course
Basic JavaScript or TypeScript knowledge is helpful but not essential
No prior Claude Code or AI experience is required
Some familiarity with Playwright or test automation is helpful, but each workflow is explained step by step
Description

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This course contains the use of artificial intelligence.
Most "AI for QA" courses are a shallow tour of tools. This one is different - it teachesone complete, professional workflow, end to end with Claude Code, an agentic AI coding tool: writing realPlaywrighttests the way a senior engineer actually works.
I'm Gianni - an SDET and the instructor behindWebDriverUniversity, with100,000+ students across my QA courses.
Here's the truth nobody tells you: AI can write a test in seconds. Making that output reliable enough to ship is the real job - and that's exactly what you'll learn.
The workflow you'll master
Generate- turn manual scenarios, acceptance criteria, and live app behaviour into Playwright tests
Debug- fix flaky, failing, and false-positive tests with the trace viewer and a repeatable method
Refactor- reshape AI output into clean Page Objects, fixtures, and helpers
Review- catch hallucinated selectors, weak assertions, and missing coverage, then lock the standards into a Claude ruleset
Your capstone project: build a completeend-to-end test suite for a real restaurant-booking app from scratch - with API and network mocking, negative-path coverage, and a genuine bug you'll track down and fix. The kind of suite you'd defend in a pull request.
This course is for
QA engineers and SDETs who want AI to write real, maintainable suites - not throwaway demos
Manual testers moving intotest automation
Anyone curious how senior engineers actually useagentic AIin day-to-day QA work
No prior experience with Claude Code or AI is required. Basic Playwright knowledge is helpful, but everything is explained step by step.
By the end, you won't just know that AI can write tests - you'll be the engineer who can read its output, catch what's wrong, and own the quality on any team.
Who this course is for

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QA Engineers, Software Testers, and SDETs who want to use Claude Code to build reliable, maintainable Playwright test automation
Automation Testers and Test Automation Engineers who want to generate, debug, refactor, and review Playwright tests using AI
Manual Testers moving into automation who want a practical, guided introduction to Playwright and AI-assisted testing
Playwright users who want to improve their productivity, debugging, code quality, and test coverage with Claude Code
Developers who want to create and review trustworthy AI-generated end-to-end tests for their applications
Anyone who wants to learn a complete, professional Claude Code workflow for QA rather than a shallow overview of multiple AI tools
Homepage

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