AI Engineer Roadmap - Interactive Progress Tracker with Ritesh Rai

🚀 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