Learner Squad

Learner Squad

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Roadmaps

Follow a path, not a playlist.

Four curated tracks that chain courses in the exact order I'd recommend — beginner to advanced, zero guesswork.

Path 01

Become an AI-Powered QA Engineer

The full pipeline: from framework fundamentals to shipping GenAI-tested systems.

Level
Beginner → Advanced
Duration
~20 hours
Courses
4 courses
Who it's for
Manual testers and automation engineers who want to move into AI-driven testing without skipping the automation fundamentals.

Skills

  • 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

Career outcome

AI-Powered QA Engineer / SDET working on AI-integrated products.

  1. 1Enterprise Web Automation with Playwright & TypeScript
  2. 2Building Scalable Test Automation Frameworks with GenAI
  3. 3Testing Machine Learning and GenAI Systems
  4. 4MCP for QA Engineers: AI Automation with TypeScript (2026)
Path 02

Master Playwright End-to-End

From your first test to enterprise CI/CD-grade Playwright frameworks.

Level
Beginner → Advanced
Duration
~15 hours
Courses
3 courses
Who it's for
Testers who have chosen Playwright (or are migrating from Selenium/Cypress) and want a production-grade framework, not tutorial scripts.

Skills

  • Playwright test architecture and fixtures
  • Page Object Model at scale
  • API testing inside Playwright
  • Reporting, retries and parallel execution
  • CI/CD integration

Career outcome

Senior Automation Engineer owning the Playwright framework for a product team.

  1. 1Enterprise Web Automation with Playwright & TypeScript
  2. 2Building Scalable Test Automation Frameworks with GenAI
  3. 3AI Agent: Automated QA Test Case Generator and Executor
Path 03

GenAI Testing Specialist

Go deep on the hardest part of modern QA — testing non-deterministic AI systems.

Level
Intermediate → Advanced
Duration
~18 hours
Courses
4 courses
Who it's for
Experienced automation engineers, SDETs and QA leads whose teams have started shipping LLM or agent features.

Skills

  • Testing non-deterministic model output
  • Bias, fairness and responsible-AI checks
  • Prompt stability and regression strategies
  • MCP servers and tool wiring
  • Multi-agent systems with AutoGen

Career outcome

GenAI / LLM Testing Specialist or AI Quality Engineer.

  1. 1Testing Machine Learning and GenAI Systems
  2. 2MCP for QA Engineers: AI Automation with TypeScript (2026)
  3. 3Agentic AI for QA Automation with Python
  4. 4Agentic Workflow Using LangChain and LangGraph
Path 04

Performance & API Testing at Scale

The backend-first track — load, APIs, and AI-assisted test generation.

Level
Intermediate → Advanced
Duration
~11 hours
Courses
3 courses
Who it's for
Backend-leaning testers and SDETs responsible for API contracts, load testing and service-level quality.

Skills

  • Load test design with Locust
  • Observability with Prometheus and Grafana
  • REST Assured + TestNG API suites
  • Java-based enterprise automation
  • AI-assisted API test generation

Career outcome

Performance / API Test Engineer or backend-focused SDET.

  1. 1Scalable Performance Testing with Locust and Python
  2. 2Enterprise QA Automation with Java, Selenium & APIs
  3. 3AI Agent: Automated QA Test Case Generator and Executor

Not sure which path is yours?

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