AI Engineer Roadmap - Interactive Progress Tracker

Built by AI Professionals

🚀 Stop guessing what to learn next. This is a structured, interactive roadmap that tells you exactly what to learn, in what order, to become a production-ready AI Engineer. ✅ 15 STAGES — COMPLETE LEARNING PATH: → Stage 01 — Python Fundamentals → Stage 02 — OOP & Advanced Python → Stage 03 — FastAPI & Pydantic → Stage 04 — Math & Statistics for ML → Stage 05 — Machine Learning Core → Stage 06 — Deep Learning & Neural Networks → Stage 07 — NLP & Transformers → Stage 08 — LLM Fundamentals & Prompt Engineering → Stage 09 — LLM App Frameworks (LangChain, LangGraph, LlamaIndex & Agents) → Stage 10 — RAG (Retrieval-Augmented Generation) → Stage 11 — Agentic AI & Multi-Agent Systems → Stage 12 — MCP (Model Context Protocol) → Stage 13 — LLMOps: Evaluation, Observability & Guardrails → Stage 14 — Deployment & Cloud (AWS/GCP/Azure) → Stage 15 — Portfolio, Interview Prep & Job Search ✅ WHAT'S INSIDE: → Interactive checkboxes — track your progress as you go → Progress bar showing your % completion in real time → Covers everything from Python basics to production Gen AI systems → Dark-themed, clean design — works in any browser, no login needed → Complete all 15 stages to unlock your certificate of completion ✅ WHO IS THIS FOR: → Data analysts moving into Gen AI → Software engineers learning LLM engineering → Freshers targeting AI Engineer roles → Anyone who wants a structured path — not random YouTube videos ✅ HOW IT WORKS: Download the HTML file → Open in any browser → Start checking off topics as you complete them → Watch your progress bar fill up Built by Ritesh Rai — Gen AI Engineer with 2+ years building.