本课程专为有基础的Power BI开发者设计，教你利用Copilot、Claude Desktop及Fabric等AI工具，通过TMDL和PBIP/PBIR格式，实现语义模型优化、DAX调试和智能报表构建，大幅提升开发效率。
原始标题：The Complete AI Power BI Course: Using AI in Power BI
本课程聚焦现代BI开发变革，旨在指导有基础的开发者利用Microsoft Copilot、Claude Desktop及Fabric等AI前沿技术，基于TMDL和PBIP/PBIR项目格式，实现AI辅助的语义模型优化、DAX调试、智能报表构建及自动化文档生成，全面提升开发效率。详情可了解本课程如何利用AI赋能Power BI进阶实战。
Published 8/2026
Created by Randy Minder
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 42 Lectures ( 6h 16m ) | Size: 2.5 GB
Master AI tools (Copilot, Claude, MCP, Skills for Fabric) in Power BI, AI-assisted DAX, and AI visuals.
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
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
Anyone who wants to understand how to use AI in Power BI
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