Microsoft GenAIOps Maturity Model gives you the tools to assess an organization's GenAIOps readiness. You will learn to score capability maturity across four dimensions, identify the most impactful gaps, and produce a prioritized improvement plan with concrete actions achievable in 30–60 days.

This section introduces the six phases of the GenAIOps operating loop and maps each phase to specific Azure services and capabilities, providing you with a clear mental model for organizing your GenAIOps practice.

This section teaches you to evaluate Microsoft's GenAIOps accelerator templates, understand their architectural differences, and select the right starting point for your solution type.

This module teaches you to design robust grounding data pipelines that handle multiple source types, implement versioning strategies for chunking and embeddings, and maintain vector store indexes for production RAG solutions.

This module teaches you to define and enforce data freshness SLAs for grounding data and implement compliance controls including right-to-be-forgotten handling and data lineage tracking.

This module teaches you to design grounding content validity audit processes that detect when grounding data has become outdated due to domain changes, ensuring your RAG solutions don't serve information that was once correct but is no longer valid.

In this project, you'll synthesize your skills by producing a foundation-level GenAIOps design for a realistic enterprise scenario. You'll assess organizational maturity, map the operating loop to Azure tools, and design a grounding data architecture for a claims knowledge assistant, producing portfolio-ready documentation.