Course 6: Deploying and Operating Agentic AI in Production
---------------------------------------------------------- What you will learn ------------------- (a) Deploy an agent as a reliable, scalable service (b) Cut cost and latency with caching, model routing, output limits, and batching (c) Monitor agents in production with dashboards, alerts, and drift detection (d) Manage the lifecycle: versioned prompts and models, rollbacks, and provider changes Why take it ----------- (a) Takes an agent the last mile, from notebook to monitored service with a cost budget (b) Every optimization is measured against its effect on quality What makes it unique -------------------- (a) Capstone of the specialization: the labs pick up the investment assistant built in earlier courses (b) Ends with a production checklist and an operating model you can adapt to your organization
