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.

Syllabus

Week 1
Extending Power BI Analytics with Python
- Beginning Your Advanced Power BI Journey
  Explore how Python, AI, and governance extend Power BI beyond traditional analytics and support advanced enterprise solutions.
- Setting Up Python Integration in Power BI
  Configure Python integration in Power BI by setting up the environment, enabling script execution, and preparing Python for data ingestion.
- Preparing and Transforming Data with Python
  Apply Python-based cleaning and transformation techniques to prepare accurate, consistent, and analysis-ready data in Power BI.
- Building Python Visuals and Predictive Models
  Create Python-powered visualisations and predictive models in Power BI to support advanced analytical insights.
Week 2
Intelligent Analytics with AI and Generative AI
- AI in Business Intelligence
  Explore how artificial intelligence enhances business intelligence by enabling smarter analysis, pattern discovery, and data-driven insights in Power BI.
- Exploring Power BI's AI Visuals
  Investigate Power BI’s AI visuals to uncover patterns, identify key influencers, detect anomalies, and analyse factors driving business outcomes.
- Advancing Power BI with Generative AI, Copilot, and Agentic AI
  Leverage Generative AI, Copilot, and Agentic AI to enhance data preparation, reporting, automation, and intelligent analytics in Power BI.
Week 3
Securing, Governing, and Optimising Power BI
- Establishing Power BI Governance and Security
  Establish governance and security practices in Power BI to protect data and support responsible enterprise analytics.
- Securing Data with RLS and OLS
  Implement Row-Level Security (RLS) and Object-Level Security (OLS) in Power BI to control data access and ensure users view only authorised information.
- Governing, Optimising, and Monitoring Power BI Solutions
  Manage Power BI solutions using data lineage, impact analysis, performance optimisation, and scorecards to support effective governance and monitoring.

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Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

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.

Who is the course for?

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.

What software or tools do you need?

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.

Who will you learn with?

Edureka Instructors

Who developed the course?

Edureka

Edureka is a global online learning platform offering industry-focused training in emerging technologies such as Cloud, AI, GenAI, Data Science, DevOps, and Cybersecurity, helping professionals upskill and advance their careers.

About this ExpertTrack

Gain the Microsoft Power BI expertise employers value and build the skills to advance your business intelligence career.

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