AI Engineer Roadmap 2026: From Zero to AI Agents (Full Playlist)

Want to become an AI Engineer but don't know where to start? This is the full roadmap. In this video (EP 00), I walk you through every topic in this playlist: 57 topics across 9 modules, from "what is an LLM" to building real AI agents. Watch the videos in order and you'll never feel lost. ▶ Full playlist: [PLAYLIST LINK] 📄 Download the roadmap: [ROADMAP LINK] WHAT YOU'LL LEARN 01 · LLM Foundations: tokens, context window, temperature, hallucination 02 · Prompting: system prompts, prompt engineering, chain-of-thought, JSON output 03 · Building LLM Apps: APIs, streaming, OpenAI, Claude, Gemini, local models, LangChain 04 · RAG: chunking, embeddings, vector databases, hybrid search, reranking 05 · Tools & MCP: function calling, Model Context Protocol, routing 06 · AI Agents: ReAct, memory, skills, multi-agent systems, LangGraph, A2A 07 · Safety & Control: guardrails, prompt injection, human in the loop 08 · Production: observability, LangSmith, evals, caching, deployment 09 · Advanced Engineering: context, loop and harness engineering PROJECTS WE'LL BUILD ✅ An AI chatbot ✅ A "chat with your PDF" app ✅ A web-search AI agent CHAPTERS 0:00 Why most people get lost learning AI 0:30 Who this playlist is for 1:00 Full roadmap: 9 modules 4:30 Projects we'll build 5:15 How to follow this playlist 5:45 What's next 💬 Comment below: which topic are you most excited about? 🔔 Subscribe and turn on notifications so you don't miss an episode. #AIEngineering #AIAgents #LLM