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AI for Power BI

Home AI for Power BI: Intelligent Analytics & Automated Insights
AI for Power BI Course
Level: Foundation Duration: 3 Days Business Intelligence
Learning Mode: Online via Zoom TEC & Maset

AI for Power BI: Intelligent Analytics & Automated Insights

Course Overview

SUMMARY:

AI for Power BI: Intelligent Analytics & Automated Insights is a specialised programme designed to equip participants with the skills to integrate Artificial Intelligence (AI) capabilities into Microsoft Power BI for smarter, faster, and more accurate decision-making. This programme bridges business intelligence, machine learning, and data-driven automation, enabling learners to transform dashboards from static reports into intelligent analytics platforms.

Participants will learn to use Power BI's native AI features including AI Insights, Auto ML, Cognitive Services, and natural-language analytics, and integrate external AI/ML models for advanced applications. Through hands-on exercises and real-world projects, participants will build intelligent dashboards that generate automated insights, predictions, and recommendations.

This course is specifically designed to provide participants with:

  • Understanding of the fundamentals of AI, ML, and how they integrate with business intelligence
  • Skills to apply Power BI's built-in AI tools such as Key Influencers, Decomposition Tree, Smart Narratives, and Anomaly Detection
  • Knowledge to build predictive models using Auto ML in Power BI Dataflows
  • Ability to connect Power BI to Azure Machine Learning, Python, and R for custom AI solutions
  • Expertise to use Cognitive Services to analyse text, sentiment, images, and more
  • Skills to apply DAX and Power Query with advanced automation functions
  • Capability to build an end-to-end intelligent dashboard that generates automated insights and recommendations

Course Curriculum

  • What is AI, ML, NLP & Predictive Analytics
  • Traditional BI vs AI-Augmented BI
  • Power BI Architecture & Where AI Fits
  • Real-world use cases for AI-powered dashboards

  • Key Influencers Visual
  • Decomposition Tree
  • Smart Narratives
  • Q&A Visual & Natural Language Querying
  • AI Insights in Power BI Desktop
  • Anomaly Detection and Automated Trend Analysis

  • Power Query advanced transformations
  • Data cleaning, normalization, and feature extraction
  • DAX formulas for automated insights
  • Creating calculated tables & advanced relationships

  • Introduction to Auto ML
  • Creating Dataflows for Machine Learning
  • Classification, Regression & Forecasting in Auto ML
  • Training, Validation & Performance Metrics
  • Deploying ML models into Power BI reports

  • Embedding Python scripts in Power BI
  • Data manipulation with pandas & NumPy
  • Visualization with matplotlib & seaborn
  • R-based predictive analytics (optional)
  • Security, gateway & performance best practices

  • Connecting Power BI with Azure ML
  • Publishing & consuming ML models
  • Real-time scoring in dashboards
  • Auto-scaling & managing AI workloads

  • Sentiment Analysis (Customer Feedback)
  • Key Phrases Extraction
  • Vision API (Image Tagging, Object Detection)
  • Text Analytics API
  • Form Recognizer for document extraction

  • Designing intelligent dashboards
  • Automated narratives using Smart Narratives
  • Generating insights using NLG (Natural Language Generation)
  • Custom visuals for AI storytelling
  • Best practices for leadership reporting

Participants will build a full AI-powered dashboard that includes:

  • Auto ML predictive model
  • Cognitive Services API integration
  • Anomaly detection & insights
  • Smart narratives
  • Automated KPI alerts
  • Power BI Service deployment

Learning Outcomes

Upon completion of this course, you will be able to:

  • Understand AI, ML, NLP, and predictive analytics fundamentals
  • Apply Power BI's built-in AI features including Key Influencers, Decomposition Tree, and Smart Narratives
  • Prepare and transform data for AI applications using Power Query and DAX
  • Build predictive models using Auto ML in Power BI Dataflows
  • Integrate Python and R scripts for advanced analytics in Power BI
  • Connect Power BI to Azure Machine Learning for enterprise AI solutions
  • Implement Cognitive Services for text, sentiment, and image analysis
  • Design intelligent dashboards with automated insights and narratives
  • Deploy AI-powered dashboards to Power BI Service
  • Apply best practices for AI-enhanced business intelligence

Tools & Software Required

  • Microsoft Power BI Desktop - Latest version
  • Power BI Pro / Premium Per User (PPU) - For service features
  • Azure Account - For Azure ML and Cognitive Services (trial available)
  • Python - For advanced analytics integration (optional)
  • R - For statistical analysis (optional)
  • Microsoft Excel - For data preparation

Who Should Take This Course?

  • Business intelligence analysts and developers
  • Data analysts wanting to enhance Power BI with AI capabilities
  • Power BI users seeking to build intelligent, automated dashboards
  • Business professionals needing AI-powered analytics solutions
  • Data scientists wanting to integrate ML models with Power BI
  • Anyone looking to transform static reports into intelligent analytics platforms

Key Benefits

  • Comprehensive AI Integration - Master all Power BI AI features from built-in tools to Azure ML
  • Hands-On Learning - Build real intelligent dashboards through practical exercises
  • Automated Insights - Learn to generate automated insights, predictions, and recommendations
  • Enterprise-Ready Skills - Integrate with Azure ML and Cognitive Services for production solutions
  • Practical Capstone Project - Build a complete AI-powered dashboard from scratch
  • Industry Best Practices - Learn proven methodologies for AI-enhanced business intelligence

Prerequisites

This course is designed for participants with basic knowledge of Power BI. Familiarity with creating basic reports and dashboards in Power BI Desktop is recommended. No prior AI or machine learning experience is required, as the course covers AI fundamentals. Basic understanding of data analysis concepts would be helpful but not mandatory.

Certification

Upon successful completion of this course, you will receive a certificate from MASET (Malaysian Association of Skills Training). This certificate validates your practical skills in integrating AI with Power BI, demonstrating your ability to build intelligent dashboards, implement Auto ML models, integrate Cognitive Services, and deploy AI-powered analytics solutions.

The course includes hands-on exercises and a comprehensive capstone project to ensure you have practical experience with AI-enhanced Power BI dashboards, preparing you to immediately apply these skills in your professional role.

Course Information

  • Duration: 3 Days
  • Learning Mode: Online via Zoom
  • Level: Foundation
  • Certification: MASET Certified
  • Format: Online
  • Partner: TEC & Maset
Course Fee

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