That is not a disclaimer — it is part of the point. The slides and the voice narrating the lectures were produced with AI tools, but every script was written and fact-checked by a human instructor with real hands-on experience. Think of the AI as the production crew; the teaching is human. In about two years, “can you work with AI agents” will be as normal an interview question as “do you know Excel.” And right now, most people — smart, technical people — still cannot answer it. They can say the word “agent.” They just cannot explain what one actually is. This course closes that gap. In about an hour. No hype. No math. No code.
What you will learn:
AI Agents Explained is the clearest possible tour of how AI agents really work. You will learn the agent loop that powers every agent on earth. How agents use tools, memory, and planning. Why they fail — and how the professionals keep them under control. And you will finally understand the words everyone is about to need: RAG, multi-agent systems, MCP, and evaluation. Fifteen sections. All in short, bingeable lectures you can actually finish.
What this course covers, module by module:
What Is an AI Agent?; The Engine Under the Hood (LLMs); The Agent Loop; Tools & Tool Use; Memory; Planning & Reasoning; Failure Modes & Keeping Control; Where Agents Are Winning Today; Talking to Agents: Prompts & Context; RAG: Giving Agents Real Knowledge; Agent Design Patterns; Multi-Agent Systems; How Agents Connect: APIs & MCP; Trusting Agents: Evaluation.
