Secure AI Model Deployments & Lifecycles

If model rollouts feel risky, monitoring is an afterthought, and updates make you nervous, you’re not alone. As AI moves from prototype to production, the stakes rise: model supply chains, promotion workflows, and runtime behavior need guardrails, not just good intentions. This course is your blueprint for shipping with confidence by baking security into every phase of the AI Model lifecycle. You’ll learn to choose the right deployment strategy for your risk profile, enforce provenance and approvals with a model registry, and wire continuous monitoring for data/feature drift, performance, and …