AI Roadmap for SDETs

This is not another generic AI tutorial.

AI Roadmap for SDETs is a step-by-step, SDET-focused learning path designed for QA engineers, automation engineers, and SDETs who want to understand how AI fits into software testing — and how to test AI-powered applications.

Instead of jumping straight into AI tools, this roadmap starts with AI fundamentals, builds your understanding of GenAI and LLMs, then moves into AI-powered testing, AI agents, MCP, RAG testing, AI security, evaluation, and AI Quality Engineering.

🔍 What makes this roadmap different?

1. Built specifically for SDETs and QA engineers
2. Starts from zero AI knowledge
3. Follows a clear step-by-step learning path
4. Covers both AI for Testing + Testing AI
5. Focuses on practical skills, not unnecessary AI/ML theory
6. Includes 6 portfolio projects + a final capstone
7. Connects learning to interviews and career growth

📚 What you'll learn

1. AI fundamentals for SDETs
2. Generative AI and LLMs
3. Prompt engineering
4. AI-powered test automation
5. AI-assisted coding and debugging
6. AI agents and MCP
7. LLM testing
8. RAG testing
9. AI agent testing
10. AI security and evaluation
11. AI Quality Engineering
12. Career roadmap to AI Quality Engineer

🎯 Who is this roadmap for?

1. Manual QA engineers moving toward automation
2. Automation engineers becoming SDETs
3. Existing SDETs learning AI
4. Test engineers working with Playwright/Selenium/API automation
5. Anyone who wants to move into AI-powered testing

🚫 What this roadmap is NOT

❌ Not an AI/ML research book

❌ Not a mathematics-heavy AI course

❌ Not a generic ChatGPT prompt book

❌ Not a copy-paste automation framework

❌ Not a shortcut to becoming an AI engineer overnight

If you want to stop wondering what to learn about AI as an SDET and start following a clear roadmap, this is for you.