Advanced Power BI Integration, AI, and Governance Strategies

Overview

This course explores advanced capabilities in Power BI, focusing on AI integration, enterprise collaboration, and governance strategies. It equips learners with the knowledge to leverage cutting-edge tools and design scalable, secure BI solutions in modern data environments.

Learners will integrate Power BI with AI features, Office 365 tools, and data science workflows to unlock deeper insights and enhance collaboration. The course also covers governance frameworks, data protection strategies, and capacity management to ensure reliable and secure BI deployments.

What sets this course apart is its blend of advanced concepts and real-world applications, enabling learners to connect AI, integration, and governance practices effectively. Practical insights help learners address complex BI challenges with confidence.

This course is ideal for experienced BI professionals, data engineers, and IT leaders aiming to implement enterprise-grade Power BI solutions. Prior experience with Power BI and data analytics is recommended.

This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization.

Syllabus

• Leveraging Artificial Intelligence in Power BI
This module introduces key artificial intelligence features available in Power BI, focusing on tools accessible to both business and technical users. Learners will explore the decomposition tree for root cause analysis, and discover how Copilot enables natural language interactions and streamlines report creation. By the end, participants will be equipped to leverage AI-driven insights and productivity enhancements in Power BI.
• Integrating Power BI with Office 365 Tools
This module explores how to seamlessly connect Power BI with popular Microsoft 365 tools such as Excel and Teams. Learners will discover integration methods, collaboration features, and practical workflows to enhance data-driven decision-making within familiar Office environments.
• Uncovering Features of Power BI for Data Scientists
This module introduces data scientists to advanced Power BI features tailored for analytics workflows, including visualization techniques, anomaly detection, and sentiment analysis. Learners will explore how to leverage semantic models and AutoML capabilities within the Power BI and Fabric ecosystem to extract and present actionable insights. Practical scenarios demonstrate how these tools can enhance data exploration and communication of results.
• Protecting Data Using Microsoft Purview and Defender
This module explores advanced data protection strategies in Power BI and Microsoft Fabric using Microsoft Purview and Defender. Learners will discover how to configure and inherit sensitivity labels, as well as implement data loss prevention policies to safeguard sensitive information. Practical guidance on permissions and policy enforcement is also provided.
• Designing Power BI Governance
This module explores the principles and practices of establishing effective governance for Power BI and Microsoft Fabric environments. Learners will discover how to organize workspaces using domains, balance security with user empowerment, and design governance models tailored for managed self-service BI scenarios. By the end, participants will be equipped to implement governance strategies that support both compliance and agility.
• Managing Fabric Capacities
This module explores how to effectively manage and optimize resource capacities within Power BI/Fabric environments. Learners will discover key concepts such as bursting, smoothing, and throttling, and learn to configure capacity settings and develop strategies for handling high utilization scenarios.

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Taught by

Packt - Course Instructors

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Subjects

Computer Science