AI-Powered Data Analysis with Power BI

Course Category : Data Management

Develop advanced capabilities in leveraging AI within Power BI to transform enterprise data into intelligent dashboards and actionable business insights.
Duration: 5 Days
Level: Advanced

Introduction

Artificial intelligence has transformed modern business intelligence by enabling organisations to move beyond descriptive reporting toward predictive and intelligent decision-making. Modern analytics platforms now provide AI-driven capabilities that accelerate insight generation, improve forecasting accuracy, and enhance operational performance.
This course provides a comprehensive understanding of integrating artificial intelligence capabilities within Microsoft Power BI. Participants will explore AI-powered analytics, predictive techniques, intelligent visualisations, and advanced dashboard development while aligning analytical practices with recognised business intelligence standards..

Targeted Audience

  • Data Analytics Managers
  • Business Analysts
  • Data Analysts
  • Business Intelligence Specialists
  • Digital Transformation Managers
  • Big Data Professionals
  • Strategic Planning Professionals
  • Performance Management Managers
  • IT Professionals
  • Executive Decision Makers

Targeted Skills

  • Data Modeling
  • AI-Powered Analytics
  • Interactive Dashboard Design
  • Predictive Analytics
  • Executive Reporting
  • DAX Development
  • Power Query
  • Data Quality Management
  • Data Interpretation
  • Data-Driven Decision Making

Expected Outcomes

  • Understand AI capabilities within Microsoft Power BI.
  • Design effective analytical data models.
  • Develop AI-powered interactive dashboards.
  • Generate intelligent business insights from enterprise data.
  • Apply forecasting and predictive analytics techniques.
  • Produce executive-level analytical reports.
  • Improve data quality and analytical reliability.
  • Support strategic decision-making using business intelligence.

Training Topics Index

  • Business Intelligence evolution
  • Microsoft Power BI architecture
  • AI fundamentals in analytics
  • Data lifecycle management
  • Analytics best practices

  • Connecting multiple data sources
  • Data transformation with Power Query
  • Building relational data models
  • Data quality improvement
  • Optimising analytical models

  • AI Visuals in Power BI
  • Forecasting techniques
  • Anomaly detection
  • Azure AI integration
  • Interpreting AI-generated insights

  • Professional dashboard development
  • KPI design
  • Advanced DAX analytics
  • User experience optimisation
  • Executive reporting

  • Strategic analytics
  • Data-driven decision support
  • Data governance
  • Business performance measurement
  • Future AI trends in Business Intelligence

Course Features

  • Updated and Interactive Content
  • Hypothetical Examples and Case Studies
  • Pre- and Post-assessments to Measure Impact
  • Verified Certificate with a QR Verification Code