AI can generate Playwright tests quickly, but speed is not the same as trustworthy automation. This course shows QA engineers and test automation teams how to use AI agents to plan, generate, review, heal, and measure Playwright tests while keeping humans in control of test intent. You will work with Playwright Test Agents, Claude Code, Playwright MCP, playwright-cli skills, accessibility snapshots, fixtures, page objects, traces, GitHub Actions, and practical guardrails. Instead of treating generated code as automatically correct, you will learn how to review AI plans for missing cases, invented behavior, weak assertions, brittle locators, unnecessary waits, and framework violations.
The course includes a complete QA Shop project with checkpoints, prompts, reference runs, answer keys, bug switches, and repeatable agent scenarios. You will see a planner turn requirements and app exploration into a test plan, a generator convert that plan into framework-native TypeScript tests, and a healer repair UI changes. You will also see the dangerous side of healing: assertion changes, expected-value edits, skips, and fixme annotations that can make a pipeline green while a real defect remains.
