Building Fabric Data Agents with Ontologies

Organizations need quick, natural language access to their data, but generic AI often lacks the context to provide accurate answers. By structuring your data with a clear ontology, you can build custom Fabric data agents that understand the precise relationships within your business domain. What you'll learn: 1. Understand the core concepts of data ontologies and semantic modeling in Fabric. 2. Configure custom agent instructions to guide natural language processing and improve accuracy. 3. Connect your data agent to structured ontology sources for reliable context retrieval. 4. Test and refine natural language queries to ensure consistent, high-quality responses. 5. Publish and share your completed data agent for seamless collaboration. 6. Apply best practices for modern semantic data architectures. The course begins with foundational definitions of ontologies and semantic layers, then guides you through configuring, testing, and deploying your own functional data agent. Designed for data analysts and developers new to Fabric and semantic search, this guide requires no advanced prerequisites. Start building smarter, context-aware data assistants today.