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AI+ Business Intelligence

SS Course: 9000597

Course Overview

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The AI+ Business Intelligence explores core concepts in AI, data preparation, machine learning, and generative AI. Through hands-on training in tools like Python, Power BI, and Tableau, learners develop skills in data visualization, predictive modeling, and automation. The course includes prompt engineering and communication modules to bridge technical insights with business strategy.                                                                  

Scheduled Classes

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08/11/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
10/20/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)
12/08/25 - NVT - Virtual Classroom - Live Virtual (click to enroll)

What You'll Learn

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  • Leverage AI to forecast potential project roadblocks and adjust timelines to ensure on-time delivery
  • Streamline project workflows using AI to eliminate inefficiencies, saving time and reducing operational costs
  • Optimize resource distribution and task assignment using AI for maximum efficiency
  • Make data-driven decisions instantly with AI-generated project insights
  • Automate stakeholder reports with AI for clear, timely, and accurate updates

Outline

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Introduction to AI and BI Fundamentals
  • Overview of AI and BI Integration
  • Core Concepts in Business Intelligence
  • Data Analysis Process and AI's Role
  • BI Trends and Challenges
  • Case Study
  • Hands-On Activity
 
Python for AI-Driven Business Intelligence
  • Python Programming Fundamentals
  • Advanced Python Libraries for BI
  • Visualization with Python
  • Hands-On Activity
 
Data Preparation and Feature Engineering with AI
  • Data Collection Techniques
  • Data Quality & Evaluation
  • Advanced Data Preparation
  • Hands-On Activity
 
Machine Learning (ML) for Business Intelligence
  • ML Models for BI
  • Hands-On Activity
 
Advanced AI and Generative AI for BI
  • Deep Learning and Neural Networks for BI
  • Generative AI for BI
  • Advanced AI Techniques
  • Hands-On Activity

Prerequisites

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  • Familiarity with software applications
  • Basic knowledge of data analysis
  • Suitable for all expertise levels, with an interest in AI, ML, and BI

    Who Should Attend

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    • Data Analyst
    • Power BI Data Analyst
    • Data Scientist

    Next Step Courses

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