AI Agents in Production: Harness Engineering Masterclass

About this course

Prompt Engineering Was 2023. Context Engineering Was 2025. Harness Engineering Is Now.

The field has moved three times in three years. First we argued about how to phrase instructions. Then we argued about what to put in the context window. Both mattered, and both stopped being enough the moment people started shipping agents that act on their own. The formula everyone converged on is simple: an agent is a model plus a harness. The model supplies reasoning. The harness supplies everything else, and the harness is what you are actually paid to build.

This course teaches you to build one.

What You Will Learn

We build a single system end to end, a Support Resolution Agent that reads a real customer ticket, looks up the order, decides on an action, and answers. You start from a bare API call and add each layer of the harness in turn: the agent loop, the tool interface, context delivery and compaction, memory and state, permissions and guardrails, verification, tracing, and a human approval gate for the actions that carry risk.

Along the way you will meet the failure modes that only appear in production. Agents that declare victory on work they never verified. Agents that get sloppy and rush as the context window fills. Agents that try to one shot a problem that needed four careful steps. None of these are prompt problems. Every one of them is a harness problem, and each has a concrete fix you will implement yourself.

You will write an evaluation set of twelve real tickets before you write the agent, so every change afterwards is measured rather than guessed. You will design tools with schemas and error messages a model can recover from. You will deploy the finished agent on your own VPS with Docker and Traefik, trace every run in Langfuse, and route risky actions through an n8n approval step.

Why This CourseThere is no framework here. No LangChain, no CrewAI, no abstraction between you and the mechanics. You work di

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.