AI+ Business Intelligence™

Empower Your Career with AI+ Business Intelligence™ for Advanced Data Solutions

• AI-Powered Business Intelligence: Leverage advanced tools to turn raw data into actionable insights
• Smarter Decision-Making: Make faster, data-driven decisions that align with business objectives
• Strategic Growth: Identify trends, opportunities, and risks to drive sustainable growth
• Data-Driven Innovation: Empower your strategy with predictive analytics and data-informed decisions

Module 1: Introduction to AI and BI Fundamentals

• 1.1 Overview of AI and BI Integration
• 1.2 Core Concepts in Business Intelligence
• 1.3 Data Analysis Process and AI’s Role
• 1.4 BI Trends and Challenges
• 1.5 Case Study
• 1.6. Hands on Activity

Module 2: Python for AI-Driven Business Intelligence

• 2.1 Python Programming Fundamentals
• 2.2 Advanced Python Libraries for BI
• 2.3 Visualization with Python
• 2.4 Hands on Activity

Module 3: Data Preparation and Feature Engineering with AI

• 3.1 Data Collection Techniques
• 3.2 Data Quality & Evaluation
• 3.3 Advanced Data Preparation
• 3.4 Hands on Activity

Module 4: Machine Learning (ML) for Business Intelligence

• 4.1 ML Models for BI
• 4.2 Hands on Activity

Module 5: Advanced AI and Generative AI for BI

• 5.1 Deep Learning and Neural Networks for BI
• 5.2 Generative AI for BI
• 5.3 Hands on Activity

Module 6: Statistical Analysis with AI Tools

• 6.1 Statistical Analysis for BI
• 6.2 Time Series Analysis
• 6.3 Hands on Activity

Module 7: AI-Powered Business Intelligence Tools

• 7.1 AI in BI Platforms
• 7.2 Power BI Essentials
• 7.3 Tableau Essentials
• 7.4 Hands on Activity

Module 8: Prompt Engineering for AI-Driven BI

• 8.1 Introduction to Prompt Engineering
• 8.2 Crafting Effective Prompts
• 8.3 Hands on Activity

Module 9: Communication Skills

• 9.1 Data Storytelling & Communication
• 9.2 Solution Presentation

Module 10: Capstone Project

• 10.1 Capstone Project 1
• 10.2 Capstone Project 2
• 10.3 Capstone Project 3

Tools you will explore

• Scikit-learn
• TensorFlow
• ChatGPT
• Jupyter Notebooks

Exam: 50 questions, 70% passing, 90 minutes, online proctored examInstructor-led OR Self-paced course + Official exam + Digital badge