Sprint Lesson
MLOps Starter Pack: Monitoring AI in Production
Your model shipped. Now what breaks first, and how to see it.
About this sprint lesson
A 30-min walkthrough of the four metrics that catch 90% of AI-feature degradations before users notice: latency, drift, cost, and refusal rate. Tooling recommendations across observability stacks. Live Q&A.
About Carlos
Carlos Reyes
MLOps Lead, Google DeepMind Alumni
Vetted by Maram
Carlos led MLOps infrastructure at Google DeepMind, where he built CI/CD pipelines for large-scale model deployment. He now consults for high-growth AI companies and is a co-author of the O'Reilly report on production ML systems.
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