AI Agents & LLMs 2026: Shipping Agents to Production

About this course

This course contains the use of artificial intelligence.

That is not a disclaimer — it is part of the point. The slides and the voice narrating the lectures were produced with AI tools, but every script was written and fact-checked by a human instructor with real hands-on experience. Think of the AI as the production crew; the teaching is human.

Here's an uncomfortable truth: most impressive AI agent demos never make it to production.

The demo dazzles on stage. And then it goes quiet — because the gap between "it worked in the demo" and "it runs reliably for thousands of real users, affordably, safely, at three in the morning" is enormous.

This course is about crossing that gap.

What you will learn:

• Shipping Agents to Production is the capstone — the unglamorous, essential engineering that turns a clever prototype into a real product.

You'll understand the operational pillars: reliability, cost, latency, and observability. You'll learn how to deploy safely with staged rollouts and instant rollback, and how to handle scale, incidents, the human feedback loop, and the ongoing lifecycle of models and prompts. In short, you'll see the whole car, not just the engine.

What this course covers, module by module:

The Demo-to-Production Gap; Reliability & Handling Failure; Cost Management; Latency & Performance; Observability in Production; Evaluation & Quality in Production; Guardrails & Safety at Runtime; Deployment & Safe Rollout; Scaling & Infrastructure; The Human Layer; Model & Prompt Lifecycle; Incident Response & On-Call; The Product & Business View.

Who this is for:

This is for engineers and founders who've built an agent that works, and now face the harder question — how to actually put it in front of real users and keep it running.

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