🧠 LLM Engineering Roadmap — Complete Developer Guide

🧠 Just came across an awesome open-source resource for anyone looking to break into LLM Engineering! The LLM Engineering Roadmap by @tal7aouy is a structured 24-week, self-paced guide that takes you from beginner to production-grade LLM Engineer. Here's what makes it stand out: ✅ Covers everything from Foundations → RAG → Agents → Production Systems → Security ✅ Includes architecture schemas (LLM stack, RAG pipeline, Agent loop) ✅ Curated tools, resources & real-world projects at every phase ✅ Only ~2 hours/day commitment 📌 The roadmap is broken into 6 phases: 1️⃣ Foundations — Transformers, embeddings, prompting basics 2️⃣ Applied LLM Engineering — LangChain, FastAPI, structured outputs 3️⃣ RAG & Knowledge Systems — Vector DBs, chunking strategies 4️⃣ Agents & Automation 5️⃣ Production Systems 6️⃣ Security & Advanced Topics Whether you're a developer exploring AI or an engineer leveling up — this is a goldmine 💎 🔗 Check it out on GitHub: github.com/tal7aouy/LLM-Engineering