Understand how AI agents think, act, and self-correct — ReAct loops, memory, and guardrails in under an hour
Video-first training aligned with our public skills registry and MCP directory— same program as learn skills & MCP in the header and footer.
No ML background — you use AI tools daily and want to understand how agent loops work under the hood
Evaluate build vs buy for agent infrastructure and speak the same language as engineering teams
Basic Python or IDE familiarity; structured on-ramp before LangGraph, CrewAI, or production harnesses
8 lectures · ~1 hour total
By the end of the program, you'll be able to:
Real-world projects you'll build during the course
“Finally a course that explains loops without assuming I already know what ReAct means.”
“The /loop demo in Cursor clicked immediately — I had been prompting blind before this.”
Beginner-friendly video course on agentic loops: ReAct, reflection, tool-use, and multi-agent patterns; Claude Code /loop in Cursor; termination, memory, guardrails, and LangGraph vs CrewAI vs AutoGen.
Deep dives (free): What is loop engineering? · Loop engineering: full Claude Code guide · Build your first agent loop step by step.
Join New students learning Introduction to Loop Engineering
