Advanced Power BI Intelligence with AI, Python, and Governance

Extend Microsoft Power BI with AI and Python

Take your Microsoft Power BI skills to the next level by combining business intelligence with Python, AI, and enterprise analytics. On this three-week course, you’ll learn how to enhance reporting workflows using advanced technologies that help organisations deliver smarter, more efficient data-driven decisions.

You’ll begin by integrating Python into Power BI, using it to ingest, clean, transform, and visualise data before creating a simple predictive model. Along the way, you’ll discover how coding can expand the analytical capabilities of Power BI and support more sophisticated reporting solutions.

Use AI and Copilot to enhance data analytics

Discover how AI is transforming modern business intelligence by exploring the advanced AI capabilities built into Power BI. You’ll work with AI visuals to uncover deeper insights from your data.

You’ll also explore generative AI and Microsoft Copilot in Power BI, learning how prompt-based analytics can support data preparation and reporting workflows. Through your exploration, you’ll gain an understanding of how to use AI responsibly within enterprise analytics environments.

Build secure, governed, and high-performing Power BI solutions

As Power BI solutions grow in scale, security and governance become essential. You’ll learn how to implement sensitivity labels, Row-Level Security, and Object-Level Security to protect business data while supporting secure collaboration across organisations.

You’ll also explore governance frameworks, lineage and impact analysis, and performance optimisation techniques that improve report efficiency and maintain reliable analytics at scale. By completing a practical capstone project, you’ll bring together AI, Python, security, and governance to develop a production-ready Power BI solution.

This course is designed for experienced Power BI developers, BI engineers, data analysts, reporting specialists, and analytics professionals who want to extend Power BI beyond standard reporting.

It is ideal for learners ready to use Python, AI visuals, generative AI, Copilot, security controls, governance practices, and performance optimisation to build advanced, enterprise-ready Power BI solutions.

Prior experience with Power BI Desktop, DAX, data modelling, visualisation, Power BI Service, and enterprise reporting workflows is recommended.

Learners should have basic Power BI knowledge, including data preparation, modelling, DAX, and visualisation. A Windows computer, a stable internet connection, and a Microsoft email account are required. Python installation and configuration are covered within the course, so prior Python experience is not required.

This course is designed for experienced Power BI developers, BI engineers, data analysts, reporting specialists, and analytics professionals who want to extend Power BI beyond standard reporting.

It is ideal for learners ready to use Python, AI visuals, generative AI, Copilot, security controls, governance practices, and performance optimisation to build advanced, enterprise-ready Power BI solutions.

Prior experience with Power BI Desktop, DAX, data modelling, visualisation, Power BI Service, and enterprise reporting workflows is recommended.

• Apply Python within Power BI for data ingestion, transformation, visualisation, and predictive analytics.
• Investigate business data using AI visuals, anomaly detection, decomposition trees, and automated insights.
• Explore Generative AI and Copilot capabilities for data preparation, reporting, and natural-language analytics.
• Evaluate Power BI security and governance controls, including sensitivity labels, Row-Level Security, and Object-Level Security.
• Explain performance analysis, data lineage, impact analysis, and monitoring in enterprise Power BI solutions.