Model Online / On-Site
Duration
Modules 5 modules

Course Objective & Scope

Traditional end-to-end (E2E) UI test suites are slow to author and notoriously brittle whenever DOM structures change. This course teaches QA and engineering teams how to use browser-driving agents and Playwright MCP to both generate resilient Playwright test code and run autonomous exploratory QA sessions.

Driving live browsers via Playwright MCP and accessibility-tree (ARIA) snapshots, converting natural-language user journeys into clean Page Object / Playwright scripts, distinguishing genuine regressions from benign locator changes in self-healing workflows, and running autonomous exploratory bug hunts are practised hands-on.

Who Should Attend?

  • QA automation engineers and SDETs
  • Frontend and full-stack developers responsible for E2E test suites
  • QA leads and test architects
  • Prerequisite: familiarity with web applications and E2E frameworks (Playwright, Cypress or Selenium)

Key Takeaways

  • Use Playwright MCP so agents inspect live ARIA/DOM trees and generate verified E2E tests
  • Enforce resilient role- and accessibility-based locators (getByRole, getByLabel) over brittle CSS/XPath
  • Design guarded self-healing flows that separate benign UI renames from real product regressions
  • Run autonomous exploratory QA agents to uncover console errors, broken flows and edge-case bugs
  • Compile slow agentic browser explorations into fast, deterministic Playwright scripts for CI

Curriculum

Agentic QA Architecture: Agents for Discovery, Code for CI
  • Why running live LLM steps on every CI run is slow: using agents to author and maintain deterministic scripts
  • Playwright MCP, ARIA accessibility snapshots and multimodal visual inspection
Generating Resilient Playwright Tests from User Journeys
  • Having the agent navigate the live app to emit verified Page Objects and Playwright specs
  • Handling auth state (storageState), test data seeding and network/API assertions
Flaky Test Diagnosis and Guarded Self-Healing
  • Analysing Playwright traces, screenshots and DOM diffs to separate timing bugs from locator changes
  • Spec-checked locator repair PRs that never silently mask genuine functional regressions
Autonomous Exploratory QA and Visual Checks
  • Goal-driven persona agents that probe new features for unhandled edge cases
  • Automatically surfacing 4xx/5xx network failures, console exceptions, layout breaks and a11y issues
Running QA Agents Against PR Preview Environments
  • Mapping PR diffs to affected routes and triggering targeted E2E verification
  • Posting trace- and video-backed QA verification summaries directly onto pull requests

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