Serving AI in Production
What it actually takes to run a model reliably at scale.
What you'll actually learn
Training a model in a notebook and serving it reliably to real traffic are two almost unrelated problems. This track covers the second one: how to package a model so it starts up fast, how to handle a burst of requests without falling over, how to catch the moment a model's real-world accuracy quietly degrades (drift) long before anyone complains, and how to roll back a bad model version as calmly as you'd roll back any other bad deploy.
What you'll be able to do
You'll be able to take a trained model and actually put it behind a production-grade serving setup — with monitoring that would catch it silently getting worse over time, not just crashing — which is the exact gap between "I trained a model once" and "I can be trusted to run one."
Syllabus
Frequently asked
Roughly 1 hour across 6 hands-on quests — you can go at your own pace and pick up exactly where you left off.
You should be comfortable with Docker, LLMs, Embeddings & RAG first — the skill tree unlocks Serving AI in Production once you've cleared those.
Yes — Serving AI in Production is fully available on the free tier, starting with a free first quest and no payment method required to sign up. Plus and Elite remove pacing limits but don't gate any of the Serving AI in Production curriculum behind a paywall.
Create a free account and begin your first quest — no card required.
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