AI has quietly become the most valuable skill in the Power BI ecosystem and many developers are still using a fraction of what’s available to them. If you’re still hand-writing every measure, manually documenting your models, and starting each report from a blank canvas, you’re leaving hours on the table every single week.
This course fixes that. You’ll learn how to put AI to work across the entire Power BI development lifecycle: preparing a semantic model so AI can actually understand it, generating and debugging DAX with AI assistance, using Copilot and Claude to draft report pages and summaries, and deploying AI visuals that surface insights your users may not have thought to ask for.
What you’ll learn:
- Use Copilot and Claude in Power BI and Microsoft Fabric to accelerate report and model development
- Write, explain, optimize, and debug DAX with AI
- Prepare semantic models for AI: naming, descriptions, synonyms, and the modeling decisions that make or break any AI tool’s accuracy
- Build with AI visuals, Key Influencers, Decomposition Tree and Smart Narrative and know when each one earns its place
- Apply AI to documentation, data profiling, and the tedious work that eats your day
- Recognize where AI gets it wrong, and how to validate output before it reaches a stakeholder
- Using MCP servers for semantic modeling and Skills for Fabric for report page generation






