shatxlab

Tools

Learn QA with your AI agent.

A practical, AI-native QA course: your AI agent guides you through it module by module with practice tasks.

Connect your agent

Add the course MCP server to your AI client once — Claude: Settings → Connectors → Add connector; ChatGPT: Connectors → Create. Then start a chat and the course takes over.

I want to become a QA

One course, one path: first the core QA craft — test design, bug reporting, test management, SQL, APIs — then Playwright automation the AI-agent way: reviewing tests an agent writes, running the suite in CI, and directing an agent on your own repo.

  • Core craft first: test design, defect reporting, test management and SQL — before any code
  • Review and harden Playwright tests an AI agent writes — locators, assertions, honest waiting
  • CI runs, reports, and an AI-assisted workflow on your own repo

23 modules · 31 tasks · ~17.7 h

https://mcp.shatxlab.ru/mcp

Practice first

Every module ends in real work: test cases, bug reports, SQL queries, API checks.

Your agent reviews

Tasks carry review criteria and hints, so your agent gives instant, personal feedback.

English or Russian

The course answers in the language you write in — switch any time.

The course at a glance

23 modules · 10 practice pillars · ~17.7 h

Every module trains named skills, not just topics. Every task maps to the pillars below — so you always know why a task matters.

Foundations Process & SDLC API & integration Test design Bug reporting Data & SQL Tooling & devtools Automation Career & soft skills AI collaboration

Foundations

How QA thinks, where it sits in the SDLC, the types and levels of testing, and how to work with your AI tutor.

  1. 00 Course Overview Foundations · AI collaboration Discussion · 20m
  2. 01 Introduction to QA Foundations · Bug reporting Bug hunt · 25m
  3. 02 SDLC and Development Methodologies Process & SDLC Requirements analysis · 30m
  4. 03 QA Types and Levels Test design Test design · 30m

Systems and APIs

Architecture, browser devtools, REST, SOAP and message queues — reading the contracts and finding the risks.

  1. 04 Architecture for QA API & integration API analysis · 35m
  2. 05 Browser DevTools for QA Tooling & devtools · API & integration API analysis · 40m
  3. 06 REST API Testing API & integration · Test design · Tooling & devtools 2 tasks · 55m
  4. 07 SOAP API Testing API & integration API analysis · 35m
  5. 08 Message Queue Testing API & integration Queue analysis · 35m

Test craft

Test design, defect reporting, test management and SQL — the daily toolkit.

  1. 09 Test Design Test design · Tooling & devtools 2 tasks · 80m
  2. 10 Jira and Confluence Bug reporting 2 tasks · 60m
  3. 11 Test Management Systems Process & SDLC · Test design Test design · 40m
  4. 12 SQL and Databases for QA Data & SQL 2 tasks · 60m

Playwright automation

Read and review agent-written tests, test APIs in code, structure the suite, triage failures, run it in CI — and direct an AI agent on your own repo.

  1. 16 Playwright: Read and Run Automation · Tooling & devtools · Test design 2 tasks · 65m
  2. 17 Reviewing AI-Written Tests Automation · AI collaboration automation-review · 45m
  3. 18 API Testing with Playwright Automation · API & integration 2 tasks · 80m
  4. 19 Test Architecture: Fixtures and Isolation Automation · Test design Automation code · 45m
  5. 20 Debugging and Flaky Tests Automation · Bug reporting Test debugging · 40m
  6. 21 Running Tests in CI Automation · Process & SDLC Automation code · 35m
  7. 22 AI-Assisted Playwright Workflow Automation · AI collaboration · Bug reporting 2 tasks · 85m

Growth

Capstone release, logic practice, a bilingual glossary, and the interview that closes the course.

  1. 14 Logic Exercises Career & soft skills Discussion · 25m
  2. 15 Glossary Foundations · AI collaboration Discussion · 20m
  3. 13 Final Words: QA Maturity with an AI Tutor Career & soft skills · API & integration · Data & SQL · Bug reporting 2 tasks · 75m