Building AI Agents: From a Single Prompt to a Production System — A Walkthrough of the 5-Day AI Agents Course
Most agent tutorials show you the happy path. They give you a chat UI, a tool, and a one-shot demo. Then you try to build something real, and the demo collapses under a single missing concept: how state actually flows, how to test a non-deterministic system, what to do when a tool takes ten minutes instead of ten milliseconds, or how two agents from different teams find each other in production. The 5-Day AI Agents course on Kaggle is the closest thing I have found to a structured curriculum that covers the full life-cycle of an agent system, not just the demo. Ten codelabs, five whitepapers, and a single coherent framework that ties it all together. I worked through every codelab end-to-end. This post is the tutorial I wish I had read first: what each lab is actually trying to teach, the actual code from the codelabs, how to think through the exercises, and the parts of the material that translate cleanly into a real production system. The patterns in the course are not tied to one framework. The same ideas show up in LangGraph, CrewAI, AutoGen, and any custom agent runtime. I am using the course’s framework vocabulary here, but the lessons are not. ...