This course builds one real production AI agent, start to finish, using the Claude Agent SDK. You watch a single support agent get built, measured, and shipped, lecture by lecture, with every number pulled from actual run receipts instead of slides.
It starts honest. The first version is a one-evening agent that answers real support tickets and gets 56 percent of them right. From there, each lecture changes exactly one thing: tools, an eval harness, context, memory, a subagent, cost controls, security, deployment, and observability. Then it measures what that change was actually worth.
Most lectures report a win. At least one reports that the fix everyone recommends made the bill worse. Both get shown on screen, with the receipts, because a course that only shows wins is not teaching you how production actually works.
