AI-Powered Business Intelligence with Power BI
Duration: 2 Days • Classroom: Physical • HRDC: Claimable
What you'll learn
- Participants will gain an understanding of the basics of Flutter, including how to create layouts, handle user input, manage state, and connect to APIs.
- Ability to create custom mobile apps.
- Participants will have Hands-on experience to apply their newly acquired knowledge and skills in a real-world context.
Course description
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.
Course content
- 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
Hands-On Activity:
2 Topics
- 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
Module 5: AI Features in Power BI
3 Topics
- 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
Hands-On Project 1:
2 Topics
- 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
Hands-On Project 2:
2 Topics
- 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
Hands-On Activity:
3 Topics
- Complete and present capstone project
- Peer and facilitator feedback
- Develop roadmap for AI-powered BI adoption in the organization
Wrap Up
2 Topics
- Review and discussion of tools and concepts covered.
- Q&A session to address any questions.
English
2 Days
Physical Class
Certificate of Completion
HRDC Claimable
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