Course Details
AI-Powered Business Intelligence with Power BI
This intensive hands-on workshop equips participants to leverage AI-powered business intelligence using Microsoft Power BI. Participants will learn to prepare and clean data, create AI-enhanced visualizations, build predictive models, and develop interactive dashboards for real-time insights. The training emphasizes practical application, with exercises and real-world projects allowing participants to implement AI-powered BI solutions immediately in their workplace. Attendees will explore natural language querying, trend analysis, automated reporting, and scenario forecasting using Power BI’s AI features. By the end of the workshop, participants will have the practical skills, knowledge, and confidence to transform raw data into actionable business intelligence, optimize operations, and make informed, data-driven decisions.
Learning Outcomes:
Course Outline:
Role of AI in modern BI
Benefits of AI-powered dashboards and reporting
Case studies across finance, operations, marketing, and sales
Power BI Desktop, Service, and mobile app overview
Account setup and environment configuration
Navigating the interface and connecting data sources
Importing data from multiple sources
Data cleaning, normalization, and transformation
Handling missing and inconsistent data
Prepare a sample dataset for analysis
Apply basic transformations for dashboard readiness
Visualizations: charts, tables, KPIs, maps
Filtering, slicers, and drill-through reports
Dashboard layout and design best practices
Natural language querying (Q&A)
Key influencers and decomposition tree visuals
AI insights for anomaly detection and trend analysis
Automating data refresh and report distribution
Using Power Automate for AI-driven workflows
Build an interactive dashboard with AI-enhanced insights
Automate data refresh and reporting
Regression, forecasting, and trend analysis
Building predictive models using AI visuals
Evaluating model accuracy and performance
Using AI to simulate business scenarios
Forecasting outcomes for informed decision-making
Combining multiple AI visuals for complex analysis
Detecting anomalies and key business drivers
Build a predictive analytics model for sales, finance, or operations
isualize predictions and actionable recommendations in dashboards
Identify a real workplace business problem
Build an AI-powered dashboard with predictive and actionable insights
Test and refine for real-world application
Sharing dashboards and collaboration features
Monitoring and evaluating BI impact
Responsible AI practices in BI
Complete and present capstone project
Peer and facilitator feedback
Develop roadmap for AI-powered BI adoption in the organization
Review and discussion of tools and concepts covered.
Q&A session to address any questions.
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