Microsoft Fabric IQ Ontology
Build enterprise semantic knowledge layers for AI with Microsoft Fabric IQ—design, validate, govern, and operationalize ontologies over OneLake, Semantic Models, Knowledge Graphs, and Data Agents for trustworthy enterprise AI.
4.8
(360 students)
8 Weeks · 16 hours
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What is this course about?
Microsoft Fabric IQ Ontology
Enterprise Semantic Knowledge Layers for AI
Design, validate, and operationalize Fabric IQ ontologies so AI systems reason over business concepts—not just tables. Built for data and AI professionals who need OneLake-to-Data-Agent skills with governance that holds up in production.
What you'll walk away with:
- Fluency in Fabric IQ architecture: OneLake, Semantic Models, Ontologies, and Knowledge Graphs
- Hands-on ontology design, generation, data binding, and health validation
- AI grounding patterns that reduce hallucinations with business context
- Microsoft Data Agent configuration for natural-language enterprise Q&A
- Governance, stewardship, and a capstone end-to-end ontology solution
Course Features
Post Graduate Diploma
8 Weeks of Content
Hands-on Projects
Community Support
Lifetime Access
Student Reviews
Deepak Menon
Fabric IQ ontology binding and health-check labs mirror what our Fabric CoE needed. Data Agent Q&A over retail entities reduced hallucinated answers immediately.
Reliance Retail AnalyticsSophie Laurent
Semantic Model → ontology generation was the gap in our Fabric rollout. Governance checklist and stewardship patterns are now our standard.
Capgemini Fabric PracticeIbrahim Yusuf
Comparing AI responses with and without ontology grounding was persuasive for leadership. Capstone pipeline from OneLake to Data Agent was portfolio-ready.
MTN Group Data PlatformElena Kowalski
Entity/relationship modeling for Customer–Product–Store finally made business vocabulary stick for AI. Best Fabric IQ course for architects.
Polish Retail Data Hub
