Business & Leadership · Self-paced
AI+ Business Intelligence™
Master AI-Powered Business Intelligence for Smarter, Data-Driven Decisions.
- 40 hours of content
- Online, at your own pace
- English
- Certification exam included
One-time price
$280
40 hours, self-paced. Lifetime access, certificate included.
Certification exam included (limited attempts).
Secure checkout via Stripe. Instant access after payment.
Executive summary
The AI+ Business Intelligence (BI) course provides a comprehensive five-day curriculum designed for professionals interested in leveraging AI and BI tools to enhance data-driven decision-making. The program covers fundamental AI and BI concepts, data preparation, machine learning, and advanced AI techniques like deep learning and generative AI. Participants will gain hands-on experience using Python, Power BI, Tableau, and other BI platforms, focusing on data visualization, statistical analysis, and predictive modeling. The course also includes practical applications of AI in real-world business scenarios, culminating in a capstone project
Before you start
Basic Computer Skills: Familiarity with software applications.
Foundational Data Concepts: Basic knowledge of data analysis (beneficial, not mandatory).
Open to All: Suitable for all expertise levels, with an interest in AI, ML, and BI.
Built for these roles
- Business Analyst
- Business Intelligence Analyst
- Data Scientist
- Financial Analyst
Curriculum
What you will cover.
40 hours of self-paced content. Work through it in order, on your schedule.
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 Advanced AI Techniques
5.4 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
Capstone Project 1
Ready to get certified?
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