AI-Powered Visualizations and Advanced Features in Power BI Training

AI-powered, AI-assisted, and AI-enabled analytics are more than buzzwords; they represent a fundamental shift in how insights are created and consumed. In this training, you will explore how Microsoft Power BI embraces this transformation by deeply integrating advanced AI capabilities with Microsoft Fabric, a modern cloud analytics platform that rivals solutions such as Databricks, Snowflake, and Google BigQuery.

Demo AI-Powered Visualizations and Advanced Features in Power BI Training

You will learn how to leverage AI-driven visualizations in Power BI to uncover patterns faster, generate predictive insights, and support data-driven decision-making. Key topics include AI visuals, automated insights, Copilot features, advanced data modeling, and seamless integration with Microsoft Fabric.

This Power BI training is ideal for data analysts, BI professionals, and decision-makers who want to build smarter, more interactive, and future-ready dashboards using the power of artificial intelligence.

Course content

Advanced Features in Power BI: AI-Powered Insights

Course: 1 Hour, 17 Minutes

• Course Overview
• Utilizing a Fabric Workspace
• Ingesting Data into Fabric
• Generating Insights on Data
• Analyzing Insights for a Visualization
• Identifying Possible Explanations for Anomalies
• Identifying Possible Explanations for Trends
• Explaining Increase and Decrease in Value
• Exploring How Distributions Vary
• Categorizing Numeric Columns to Study Varying Distributions
• Course Summary

Advanced Features in Power BI: Key Influencers, Anomaly Detection, & Decomposition Trees

Course: 1 Hour, 36 Minutes

• Course Overview
• Interpreting Key Influencers for a Continuous Target
• Adding Explain-By Variables and Identifying Top Segments
• Interpreting Key Influencers for a Categorical Target
• Utilizing AI Insights for Anomaly Detection and Forecasting Objective
• Tuning the Anomaly Detection Algorithm in Power BI
• Investigating Anomaly Explanations and Value Drivers
• Forecasting Trends Using Historical Data in Power BI
• Drilling Down into Measures with Decomposition Trees
• Exploring Drill Down Hierarchies and Formatting Options
• Using AI Splits and Locking Levels in Decomposition Trees
• Course Summary

Advanced Features in Power BI: Copilot for Smart Narratives & DAX Queries

Course: 1 Hour, 27 Minutes

• Course Overview
• Creating Base Visuals for Smart Narratives
• Generating and Customizing Smart Narratives in Power BI
• Customizing Dynamic Values and Interactivity in Smart Narratives
• Provisioning Fabric Capacity and Enabling Copilot in Power BI
• Creating Smart Narratives Using Copilot in Power BI
• Using Copilot to Generate DAX Queries in Power BI Desktop
• Generating and Refining DAX Queries with Copilot
• Optimizing DAX Queries with Copilot
• Creating DAX Expressions Using Quick Measures and Copilot
• Generating DAX Measures with Copilot in Power BI
• Course Summary

Advanced Features in Power BI: Copilot for Dataflows & Reports

Course: 1 Hour, 6 Minutes

• Course Overview
• Creating a Data Lakehouse and a Dataflow Gen
• Transforming Data with Copilot
• Using Microsoft Copilot to Work with Power BI Reports
• Using Explorations to Analyze Data
• Creating Visuals and Answering Questions on Your Data with Copilot
• Creating Report Pages with Copilot
• Creating Dashboards with Copilot
• Course Summary

Advanced Features in Power BI: Q&A, Scorecards, & Metrics

Course: 1 Hour, 20 Minutes

• Course Overview
• Creating a Q&A Visual
• Converting Q&A Visuals to Standard Visuals
• Analyzing the Need for Synonyms with Q&A Visuals
• Specifying and Testing Synonyms
• Utilizing Teach Q&A, Suggested Questions, and Relationships
• Creating a Scorecard and a Manual Metric
• Creating Connected Metrics
• Configuring Subgoals
• Rolling Up Subgoals into a Parent Goal
• Course Summary

Advanced Features in Power BI: Automated Machine Learning (AutoML) & Deployment Pipelines

Course: 1 Hour, 26 Minutes

• Course Overview
• Creating an ML Model for Regression
• Training a Regression Model with AutoML
• Creating and Configuring a Classification Model
• Running the Notebook for Classification
• Performing Predictions with the Trained Model
• Configuring a Forecasting Model
• Training a Forecasting Model
• Creating and Configuring Dev and Test Workspaces in a Deployment Pipeline
• Performing Deployments and Redeployments in Pipelines
• Course Summary

Advanced Features in Power BI: Real-Time Streaming Reports in Microsoft Fabric

Course: 41 Minutes

• Course Overview
• Creating an Azure Event Hub Namespace and Event Hub
• Creating a Fabric Eventhouse and Eventstream
• Configuring the Eventstream and the Destination KQL Database
• Creating a Real-Time Dashboard and Viewing Updates to Streaming Events
• Course Summary

Advanced Features in Power BI: Real-Time Streaming Reports in Microsoft Fabric

Course: 41 Minutes

• Course Overview
• Creating an Azure Event Hub Namespace and Event Hub
• Creating a Fabric Eventhouse and Eventstream
• Configuring the Eventstream and the Destination KQL Database
• Creating a Real-Time Dashboard and Viewing Updates to Streaming Events
• Course Summary