Video course · 8 chapters · 25 min · certificate
Power BI MCP Server: AI Report Development with No Data Leaks
Use AI to build Power BI reports through an MCP server without leaking data: why context matters, how MCP servers work, a live demo, data privacy, running models locally or self-deployed, auditing the data flow and a final security check.
What you'll learn
- Explain why AI needs model context in Power BI
- Understand MCP servers
- Use an MCP server with Claude or VS Code
- Assess data privacy risks
- Choose local, self-deployed or cloud models
- Audit and trace AI data flows
Chapters
8 chapters · 24:47-
1:52
01Intro Members
AI in Power BI and context
AI is changing Power BI development; context is what makes it useful.
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2:20
02Concepts Members
What MCP servers are
MCP servers give an LLM tools and context.
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2:02
03Demo Members
MCP demonstration
Asking AI to create measures like total sales via MCP.
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2:37
04Privacy Members
Data privacy considerations
The LLM gets the same rights as you: should you be concerned?
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5:39
05Options Members
Running models locally
Three options; running an LLM locally is easy.
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6:12
06Options Members
Self-deployed options
Self-deploying models (e.g. on Bedrock/Azure) with control over retention and guardrails.
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1:08
07Audit Members
Auditing the AI data flow
Summarizing the three options and auditing what flows where.
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2:57
08Audit Members
Final security check
Tracing what the MCP server sends to the LLM.
Jobs this course suits
Our AI checked this course against 500 jobs; these get the most out of it. Each job links to its learning path.