This course focuses on enterprise-level Power BI implementation, covering data integration with Azure services, security measures, governance frameworks, and deployment strategies. Participants will learn to implement Row-Level Security, manage tenant settings, establish governance models, and create deployment pipelines. The course also explores collaborative development workflows and integration with Microsoft Fabric and other Azure data services, preparing learners to implement comprehensive analytics solutions at scale.

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What you'll learn
Design and implement enterprise-scale Power BI solutions that integrate with Azure data services
Create and manage deployment pipelines for efficient development workflows
Establish collaborative workflows and sharing practices for team environments
Skills you'll gain
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There are 5 modules in this course
Successful enterprise analytics requires thoughtful architecture that balances scalability, security, and usability across large organizations. This foundational module establishes your expertise in designing Power BI solutions that serve hundreds or thousands of users while maintaining performance and governance. You'll learn to plan workspace structures that align with organizational hierarchies, evaluate Premium capacity requirements, and integrate seamlessly with Microsoft 365 environments. Through comprehensive architecture planning, you'll develop the strategic thinking needed to implement Power BI solutions that grow with your organization and support diverse analytical needs.
What's included
4 readings9 assignments4 ungraded labs
In enterprise environments, data security and governance aren't optional—they're fundamental requirements that can make or break an analytics initiative. This critical module provides you with the knowledge and skills to implement comprehensive security models that protect sensitive data while enabling self-service analytics. You'll master Row-Level Security implementation, object-level permissions, and governance frameworks that balance control with agility. Through tenant settings and sensitivity labels, you'll learn to enforce organizational policies at scale, ensuring your Power BI deployment meets the highest standards of data protection and regulatory compliance.
What's included
5 readings9 assignments3 ungraded labs
Professional Power BI development requires structured deployment processes that ensure quality, reduce errors, and enable collaborative development. This module introduces you to enterprise-grade development practices that bring software engineering discipline to business intelligence. You'll learn to implement deployment pipelines that move content smoothly from development to production, while version control strategies enable effective team collaboration. Through automated deployments and refresh management, you'll create reliable, maintainable solutions that support continuous improvement and rapid response to changing business needs.
What's included
6 readings9 assignments2 ungraded labs
The future of enterprise analytics lies in comprehensive data platforms that integrate multiple technologies for end-to-end solutions. This forward-looking module positions you at the cutting edge of modern analytics architecture through deep integration with Azure and Microsoft Fabric. You'll learn to connect Power BI with Azure data services, implement Microsoft Fabric workflows, and create enterprise-grade dataflows for standardized data preparation. Through streaming analytics capabilities, you'll extend your solutions to real-time scenarios, creating comprehensive platforms that serve both historical analysis and operational intelligence needs.
What's included
6 readings9 assignments2 ungraded labs
Enterprise Power BI success depends on effective collaboration and the ability to bring analytics directly into business processes. This culminating module focuses on advanced implementation patterns that maximize the value of your analytics investments. You'll learn to establish collaborative development workflows that enable teams to work effectively together, while content sharing strategies ensure insights reach the right audiences. Through dataflow sharing and embedded analytics, you'll create integrated solutions that seamlessly blend into existing business applications, making analytics a natural part of daily operations rather than a separate activity.
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