We just released an in-depth, hands-on video course on the freeCodeCamp.org YouTube channel about AI agents
Led by Mumshad Mannambeth, founder of CodeCloud, this full-length course is designed to take you from the absolute fundamentals of Large Language Models (LLMs) to building specialized, multi-agent systems.
Here are the core things you will learn in this course:
LLM Core Concepts: Learn how generative pre-trained transformers (GPT) work, understand tokens and tokenization, and see how temperature shapes model predictability.
Workflows vs. Agents: Learn the important architectural distinction between predefined code pathways (workflows) and fully autonomous loops where the AI decides its own next steps using tools.
Hands-on Implementation: Build four distinct agent personalities from scratch: Zippy (the orchestrator), Savvy (the research specialist utilizing the React pattern), Meshi (the memory manager), and Cody (the code and automation specialist).
Production Patterns & Security: Explore critical design patterns including structured JSON outputs, input/output guardrails, human-in-the-loop approvals, and secure sandbox execution.
OpenClaw Case Study: Wrap up the course by dissecting OpenClaw, a popular open-source, production-grade personal assistant framework. You will trace its 5-phase loop, check how it manages session state, and see how it dynamically builds a 19-section system prompt based on real-world research.
Watch the full course on the freeCodeCamp.org YouTube channel (3-hour watch).