"LLM basics to production-ready AI"

A complete 7-week roadmap to go from LLM fundamentals to shipping production-ready AI applications — no fluff, no scattered YouTube tutorials, just a clear path.

Each week breaks down into:

Concepts you need to understand (clearly separated from tools, so you're not just copy-pasting code without knowing why)

Tools to actually practice with — the real platforms engineers use (LangChain, Pinecone, LangGraph, Docker, and more)

A milestone — a concrete "you'll be able to do X" checkpoint, so you always know if you're on track

The 7 weeks cover:

LLM Foundations & The AI Stack

Context Engineering & RAG

Agentic AI & Orchestration

Evals, Observability & Safety

Deploying AI Apps to Production

Security & Production Hardening

Capstone & Career Launch

By the end, you won't just "know about" AI engineering — you'll have a live, deployed project you can show off, and a working understanding of how real AI systems are built, tested, secured, and shipped.