Modern data platforms need more than well-structured data. They need a governed semantic layer that captures business meaning once and makes it reusable across reports, analytics, and increasingly AI.

In this full-day Masterclass, we will build that foundation with Power BI semantic models. We’ll cover dimensional modeling, relationships, reusable measures and KPIs, storage architecture, governance, and maintainability - but we’ll also go beyond traditional BI.

As semantic models become a source for Copilot and Fabric Data Agents, model quality directly affects the quality of AI-generated answers. We’ll explore how naming, descriptions, synonyms, AI data schemas, AI instructions, and other semantic metadata help AI understand your business context, and why these features cannot compensate for a poorly designed model.

Through hands-on exercises and demonstrations, we’ll show how semantic models behave when consumed by AI, how to prepare and test them, and where they fit within the broader Fabric semantic layer, Fabric IQ, Ontology, and Data Agents.

You’ll leave with practical patterns for building semantic models that deliver trustworthy BI today and provide a strong semantic foundation for enterprise AI.