Business & Leadership · Self-paced

AI+ Business Intelligence™

Master AI-Powered Business Intelligence for Smarter, Data-Driven Decisions.

40 hours of content EnglishSelf-paced · online · certificate on completionCertification exam included · limited attempts

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

Built for these roles

Business AnalystBusiness Intelligence AnalystData ScientistFinancial Analyst

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.

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.

Curriculum

What you'll 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

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