Power BI Connectivity, AI Integration & Reporting

This course elevates Power BI from a reporting tool into a true enterprise analytics engine. You’ll learn how to harness Python, Generative AI, Microsoft Fabric, and hybrid data architectures to design automated, intelligent, and scalable BI experiences that meet modern business demands. You’ll begin by unlocking the full potential of Python inside Power BI. Instead of relying solely on built-in transformations, you’ll integrate Python for advanced cleaning, modeling, and visualizations, giving you the flexibility to handle complex data scenarios and create richer analytical outputs. Next, you’ll explore how AI reshapes business intelligence. Through Power BI’s AI visuals, Copilot, natural language insights, anomaly detection, and decomposition models, you’ll discover how AI enhances pattern recognition and accelerates insight generation. You’ll also learn how to apply responsible AI principles and prepare data models for reliable, ethical use across the organization. You’ll work across the Microsoft Fabric ecosystem to build hybrid architectures using OneLake, Dataflows, and gateways, and then apply these capabilities in Power BI Report Server to create paginated reports, enforce RLS, and deliver secure, compliant on-premise reporting. By the end of this course, you will be able to: - Identify how Python enhances data preparation, modeling, and visualization inside Power BI. - Analyze AI-driven visuals, Copilot interactions, natural language insights, and predictive outputs to uncover deeper patterns. - Integrate Power BI with cloud, on-prem, and hybrid data systems through Fabric, Dataflows, and enterprise gateways. - Implement secure, governed reporting environments using Power BI Report Server and enterprise security practices. - Design end-to-end, scalable BI solutions that combine analytics, AI, data engineering, and compliant deployment workflows. Designed for BI developers, Power BI specialists, data engineers, Generative AI developers, analytics archi