Career roadmap
Become an AI-Powered QA Engineer
The full pipeline: from framework fundamentals to shipping GenAI-tested systems.
- Starting level
- Beginner → Advanced
- Duration
- ~20 hours
- Courses
- 4
- Skills
- 5
Who it's for
Manual testers and automation engineers who want to move into AI-driven testing without skipping the automation fundamentals.
Career outcome
AI-Powered QA Engineer / SDET working on AI-integrated products.
Ship AI-integrated QA frameworks that validate GenAI, LLMs, and MCP-driven workflows in production.
Prerequisites
- Basic programming comfort (any language)
- Understanding of the software testing lifecycle
Skills you'll gain
- Playwright + TypeScript automation
- Page objects, fixtures and CI/CD pipelines
- GenAI-assisted test authoring
- LLM, RAG and prompt-stability testing
- Model Context Protocol (MCP) integrations
The course sequence
Take them in this order — each step builds on the last.
- 1
Enterprise Web Automation with Playwright & TypeScript
Get a rock-solid modern automation foundation.
6 hours · 41 lectures · Intermediate · Playwright
- 2
Building Scalable Test Automation Frameworks with GenAI
Learn to build frameworks *with* AI, not just for AI.
5 hours · 36 lectures · All Levels · Frameworks
- 3
Testing Machine Learning and GenAI Systems
Validate model behavior, prompts, RAG, and drift.
3 hours · 33 lectures · All Levels · AI / ML Testing
- 4
MCP for QA Engineers: AI Automation with TypeScript (2026)
Wire real backends into AI agents via the Model Context Protocol.
4 hours · 22 lectures · All Levels · AI Protocols
What you'll build
- 01
An enterprise Playwright + TypeScript framework with CI/CD
- 02
A GenAI-assisted test generation layer on top of it
- 03
A test suite that validates LLM and RAG behaviour
- 04
An MCP server that exposes real backend tools to an AI client
Related courses
Read next
Other learning paths
Ready to start AI-Powered QA Engineer?
Begin with course 1, or ask Tia to tailor the roadmap to your experience.