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The Complete AI Power BI Course: Using AI in Power BI
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Rating: 4.6 out of 5(16 ratings)
206 students

The Complete AI Power BI Course: Using AI in Power BI

Master AI tools (Copilot, Claude, MCP, Skills for Fabric) in Power BI, AI-assisted DAX, and AI visuals.
Created byRandy Minder
Last updated 9/2026
English
English [Auto],

What you'll learn

  • AI in Power BI
  • TMDL and why it is important
  • PBIP / PBIR - Making AI in Power BI possibe
  • Copilot in DAX Query View, creating pages in a report, answering questions about the data
  • Using Claude and Claude Desktop to create report pages and modify semantic models
  • MCP and Skills - The secret sauce that makes everything work

Course content

6 sections • 46 lectures • 6h 37m total length
  • Introduction3:53

    Course introduction

  • Before Getting Started3:07

    Things to know before getting started

Requirements

  • Some experience with Power BI will be very helpful. No experience with AI is required.

Description

Stop building Power BI reports the slow way.

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

Who this course is for:

Power BI developers, data analysts, and BI professionals who already know their way around a report and want to work dramatically faster. You should be comfortable with basic DAX and the Power BI Desktop interface. You don't need any prior AI experience.

What makes this course different:

This isn't a tour of feature announcements. These techniques are demonstrated on a real world dataset (Contoso). We show you what works and what doesn't work, because knowing when not to trust AI output is what separates a professional from someone pasting prompts into a chat window.

By the end, you'll have a repeatable AI-assisted workflow you can apply to every Power BI project you touch.

Enroll now and start building faster today.

Who this course is for:

  • Anyone who wants to understand how to use AI in Power BI