Most people are trying to build AI agents before understanding what powers them. this free tutorial takes you from zero to building production-ready AI systems : • 00:40 - How LLMs actually work • 04:56 - Embeddings and vector representations • 21:21 - Build a semantic search engine • 35:15 - Build your first RAG system • 42:14 - Create stateful AI workflows with LangGraph • 48:51 - Connect agents to external tools with MCP the progression is what matters: LLMs → Embeddings → RAG → Workflows → Agents → Tools you don't just learn the concepts. you build them through hands-on labs. the final goal: a real-world AI assistant that can search massive document sets in seconds. bookmark this, build along with it, and stop treating AI agents like a black box.