Modern data platforms are no longer just about storing and transforming data - they are about delivering a governed, reusable semantic layer that powers both analytics and AI.

In Microsoft Fabric, semantic models are evolving from report-centric artifacts into a critical foundation for enterprise-scale solutions. They define business logic, standardize KPIs, and increasingly provide the context required for AI experiences such as Copilot and Fabric IQ.

In this full-day, hands-on workshop, you will learn how to design, build, and optimize semantic models that scale across your organization. We will cover practical techniques for choosing the right storage mode (Import, Direct Lake, DirectQuery), reducing model size, improving refresh performance, and implementing reusable patterns for enterprise reporting.

You will also explore how well-designed semantic models enable a broader semantic layer - supporting consistent business definitions, cross-model reporting, and AI-driven insights.

The workshop is based on real-world experience from 30+ Microsoft Fabric implementations and combines deep technical knowledge with practical exercises you can apply immediately.

If you want to move beyond “just Power BI models” and start designing the semantic foundation for enterprise AI, this workshop is for you.