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

The Complete AI Power BI Course: Learn How to Use AI in Power BI in 2026

Artificial intelligence is changing the way professionals work with data.

For Power BI developers, data analysts, and business intelligence professionals, AI can help accelerate report development, assist with DAX, analyze data, generate documentation, and streamline repetitive tasks.

If you already have some Power BI experience and want to discover how AI can make your workflow faster and more efficient, The Complete AI Power BI Course: Using AI in Power BI is designed specifically for that purpose.

What Is AI in Power BI?

Microsoft Power BI has evolved beyond traditional dashboards and data visualization. AI-powered capabilities can now assist users throughout different stages of the Power BI development process.

AI can help with tasks such as:

• Generating and explaining DAX
• Developing report pages
• Asking questions about data
• Analyzing semantic models
• Creating documentation
• Identifying important factors in data
• Generating insights
• Supporting report development
• However, AI is not a replacement for understanding Power BI fundamentals. The real advantage comes from combining Power BI expertise with AI-assisted workflows.

The Complete AI Power BI Course

The Complete AI Power BI Course: Using AI in Power BI is an online course created by Randy Minder and updated in August 2026.

The current course contains 6 sections, 45 lectures, and approximately 6 hours and 35 minutes of content. It is taught in English. 

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The course focuses on practical ways to integrate AI into Power BI development rather than simply providing an overview of AI features.

According to the course description, learners work with tools and technologies including Copilot, Claude, MCP, Fabric Skills, AI-assisted DAX, and AI visuals. 

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What Will You Learn?

1. AI in Power BI

The course begins by introducing the role of AI in Power BI and explaining how AI can be incorporated into the development workflow.

You'll explore how AI can assist with different stages of building and maintaining Power BI solutions.

The goal is not simply to use AI for experimentation, but to develop a repeatable workflow that can improve productivity.

2. TMDL and Why It Matters

One of the technical topics covered is TMDL (Tabular Model Definition Language).

Understanding TMDL can be useful when working with Power BI semantic models and AI-assisted development.

The course explains why TMDL is important and how it fits into the modern Power BI ecosystem. 

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This can be particularly interesting for Power BI developers who want more control over their models and development workflows.

3. PBIP and PBIR

The course also introduces PBIP/PBIR projects and explains their importance for AI-assisted Power BI development.

These technologies can provide a more development-friendly approach to working with Power BI projects and their underlying components.

For professionals interested in automation and AI-assisted development, understanding these concepts can be an important step.

4. Microsoft Copilot for Power BI

Another major part of the course focuses on Copilot for Power BI.

You'll explore how Copilot can assist with tasks such as:

Working with DAX Query View

Creating report pages

Asking questions about your data

Generating report content

Working with Power BI and Microsoft Fabric

The course includes multiple lessons dedicated to Copilot and demonstrates practical applications rather than focusing solely on theory. 

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5. AI-Assisted DAX

DAX is one of the most important skills for Power BI professionals.

Writing complex DAX formulas can sometimes be time-consuming, particularly when debugging or optimizing existing calculations.

AI tools can provide assistance by helping users:

Generate DAX formulas

Explain existing DAX

Debug calculations

Optimize formulas

Explore alternative approaches

However, AI-generated formulas still need to be reviewed and validated.

A professional Power BI developer should understand the business logic behind a calculation rather than blindly trusting an AI-generated answer.

The course specifically teaches learners how to use AI to write, explain, optimize, and debug DAX. 

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6. AI Visuals in Power BI

Power BI includes several analytical visuals that can help users discover patterns and relationships within their data.

The course explores AI-related visuals including:

Key Influencers

Decomposition Tree

Narrative visual

These tools can help transform a traditional dashboard into a more analytical experience.

For example, a Key Influencers visual can help investigate factors associated with a particular outcome, while a Decomposition Tree can be useful for exploring contributing factors and performing root-cause analysis.

7. Using Claude with Power BI

The course goes beyond Microsoft Copilot and also explores Claude and Claude Desktop.

Learners can see how Claude can be used to assist with tasks such as:

Creating report pages

Modifying semantic models

Working with Power BI development workflows

This broader perspective is valuable because AI-assisted Power BI development doesn't have to rely on a single AI tool.

8. MCP and Power BI

Another advanced topic covered in the course is MCP (Model Context Protocol).

The course demonstrates the use of a Power BI Modeling MCP Server and explains how MCP can connect AI capabilities with Power BI modeling workflows. 

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This is particularly relevant for Power BI professionals interested in automation and emerging AI development workflows.

9. Fabric Skills and AI-Assisted Report Development

The course also covers Power BI Report Authoring Skills for Microsoft Fabric.

These capabilities are explored in combination with AI tools and MCP to demonstrate how AI can assist with report development.

The course includes practical tests of these technologies rather than treating them only as theoretical concepts. 

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Why AI Skills Matter for Power BI Professionals

Imagine spending hours manually creating repetitive calculations, documenting models, preparing report pages, and troubleshooting formulas.

AI-assisted workflows can potentially reduce the time spent on repetitive tasks and allow professionals to focus more on:

• Business requirements
• Data quality
• Analytical thinking
• Data modeling
• Dashboard design
• Business insights
• Decision-making
• The key is to use AI as an assistant—not as an unquestioned source of truth.

The course specifically emphasizes recognizing where AI can make mistakes and validating AI-generated output before it reaches stakeholders. 

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Who Should Take This Course?

This course is best suited to learners who already have some familiarity with Power BI.

According to the course requirements, some Power BI experience is very helpful, but previous AI experience is not required. 

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It can be particularly useful for:

• Power BI developers
• Data analysts
• Business intelligence professionals
• Data professionals
• Power BI report developers
• Professionals interested in AI-assisted analytics
• Anyone who wants to understand AI applications in Power BI
• If you are completely new to Power BI, it may be better to learn the Power BI fundamentals first before moving into AI-assisted development.

What Makes This Course Interesting?

One of the strongest aspects of this course is its practical focus.

Rather than simply presenting a list of AI tools, the course demonstrates how these technologies can be incorporated into an actual Power BI development workflow.

The course uses a real-world Contoso dataset and explores what works, what doesn't, and why AI-generated results need to be validated. 

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That practical perspective is important.

AI can generate impressive results, but professional data work still requires human judgment.

Start Learning AI for Power BI

Power BI and artificial intelligence are becoming increasingly connected.

If you already know Power BI and want to learn how AI tools such as Copilot, Claude, MCP, and Fabric Skills can enhance your workflow, this course provides a focused learning path.

You can check the current curriculum, course details, reviews, and pricing directly on Udemy.

Ready to Explore AI-Powered Power BI?

👉 Start the course here:

Learn how to combine your Power BI skills with modern AI tools and build a faster, more intelligent workflow for data analysis and report development.

Power BI gives you the data. AI can help you work with it faster. The future of analytics is increasingly AI-assisted—are you ready?

Disclosure: This article contains an affiliate link. If you purchase through the link, I may earn a commission at no additional cost to you.

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