Governance, Cost Management & Production Excellence

О курсе

Running generative AI at enterprise scale requires more than deployment. It demands governance, financial discipline, safety controls, and continuous improvement. This course teaches the operational practices that keep production GenAI platforms reliable, compliant, and cost effective. You'll design FinOps frameworks for token-based cost management, including forecasting, per-team chargeback with Azure API Management, and optimization through model routing, caching, and provisioned throughput. You'll implement governance using Azure Policy and Azure API Management with audit logging for compliance and incident investigations. The course also covers content safety using Azure OpenAI Content Safety, Prompt Shield for injection defense, and incident response with severity classification and rollback triggers. You'll design feedback-driven improvement systems, multi-agent operational frameworks with decision attribution and circuit breaker patterns, and end-to-end GenAIOps operating models. The course concludes with a GenAIOps maturity assessment using the Microsoft GenAIOps Maturity Model to identify strengths and plan future improvements.

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Microsoft

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