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AI+ Business Intelligence™

  • Unlock the Power of Data with AI-Driven Business Intelligence.
  • Leverage cutting-edge tools to transform raw data into actionable insights.
  • Make smarter, faster decisions that align with strategic business goals.
  • Drive sustainable growth by identifying trends, opportunities, and risks.
  • Empower innovation through data-informed strategies and predictive analytics.
Enroll Now
AI+ Business Intelligence™
Self-Paced Online
USD $ 195.00
Instructor-Led Online
USD $ 1110.00

At a Glance: Course + Exam Overview

Our training approach is human‑centred and outcomes‑driven. We focus on what learners can apply confidently.

Category
AI Data & Robotics
Financial Analyst
English
Data Scientist
Business Intelligence Analyst
Business Analyst
All Courses
AI Data & Robotics
AI Technical
Language
Program Name
AI+ Business Intelligence™
Duration
  • Instructor‑Led: 5 Days
  • Self‑Paced: 40 hours of content
Prerequisites
    • 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. 
Exam Format
Exam details not available.

What You'll Learn

AI and BI Integration

Understand the fundamental concepts of Artificial Intelligence (AI) and Business Intelligence (BI) and how they work together to drive data-driven decision-making.

Python for BI

Master Python programming and its application in business intelligence, including advanced libraries and data visualisation techniques for effective analysis.

Data Preparation and Feature Engineering

Learn how to collect, evaluate, and prepare data for machine learning and AI models, ensuring high-quality datasets for analysis.

Machine Learning Models

Gain expertise in applying machine learning techniques to enhance business intelligence and leverage data for predictive insights.

Certification Modules

Module 1: Introduction to AI and BI Fundamentals

  1. 1.1 Overview of AI and BI Integration
  2. 1.2 Core Concepts in Business Intelligence
  3. 1.3 Data Analysis Process and AI’s Role
  4. 1.4 BI Trends and Challenges
  5. 1.5 Case Study
  6. 1.6 Hands-on Activity 

Module 2: Python for AI-Driven Business Intelligence

  1. 2.1 Python Programming Fundamentals
  2. 2.2 Advanced Python Libraries for BI
  3. 2.3 Visualization with Python
  4. 2.4 Hands-on Activity 

Module 3: Data Preparation and Feature Engineering with AI

  1. 3.1 Data Collection Techniques
  2. 3.2 Data Quality & Evaluation
  3. 3.3 Advanced Data Preparation
  4. 3.4 Hands-on Activity 

Module 4: Machine Learning (ML) for Business Intelligence

  1. 4.1 ML Models for BI
  2. 4.2 Hands-on Activity 

Module 5: Advanced AI and Generative AI for BI

  1. 5.1 Deep Learning and Neural Networks for BI
  2. 5.2 Generative AI for BI
  3. 5.3 Hands-on Activity 

Module 6: Statistical Analysis with AI Tools

  1. 6.1 Statistical Analysis for BI
  2. 6.2 Time Series Analysis
  3. 6.3 Hands-on Activity 

Module 7: AI-Powered Business Intelligence Tools

  1. 7.1 AI in BI Platforms
  2. 7.2 Power BI Essentials
  3. 7.3 Tableau Essentials
  4. 7.4 Hands-on Activity 

Module 8: Prompt Engineering for AI-Driven BI

  1. 8.1 Introduction to Prompt Engineering
  2. 8.2 Crafting Effective Prompts
  3. 8.3 Hands-on Activity 

Module 9: Communication Skills

  1. 9.1 Data Storytelling & Communication
  2. 9.2 Solution Presentation 

Module 10: Capstone Project

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

Finish the course and get certified

certificate

Industry Opportunities

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AI Consultant:

Advise organizations on the integration of AI and BI solutions to enhance operational efficiency and strategic growth.

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Product Manager (AI & BI Solutions):

Manage development and implementation of AI-powered business intelligence products that meet client needs.

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AI Solutions Architect:

Design and implement AI and BI systems that improve data processing, analytics, and decision-making within organizations.

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Operations Manager (AI-Driven):

Oversee business operations enhanced by AI and BI, optimizing workflows and performance metrics.

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Chief Data Officer (CDO):

Lead an organization’s data strategy, ensuring the integration of AI and BI tools to drive innovation and growth.

Frequently Asked Questions

Can I apply what I learn in this course to real-world scenarios immediately?
Yes, you’ll gain practical, hands-on experience to immediately apply AI and BI skills in real-world business scenarios through case studies and a capstone project.
What makes this course different from other BI and AI courses?
This course integrates AI and BI, teaching tools like Python, Power BI, and Tableau, along with advanced AI techniques and prompt engineering, set it apart from others.
What type of projects will I work on?
You’ll work on projects like predictive modeling, data analysis, and AI-powered BI dashboards, culminating in a capstone project to solve real business problems.
How is the course structured to ensure I actually learn the skills?
The course blends theory, case studies, hands-on activities, and interactive sessions to ensure practical application of AI-driven business intelligence.
How does this course prepare me for the job market?
You’ll develop proficiency in AI and BI tools, gaining hands-on experience and a capstone project that prepares you for in-demand roles across industries.

Prerequisites

  • 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. 

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Introduction to AI and BI Fundamentals 5%
Python for AI-Driven Business Intelligence 11%
Data Preparation and Feature Engineering with AI 11%
Machine Learning (ML) for Business Intelligence 11%
Advanced AI and Generative AI for BI 11%
Statistical Analysis with AI Tools 11%
AI-Powered Business Intelligence Tools 10%
Prompt Engineering for AI-Driven BI 10%
Communication Skills 10%
Capstone Project 10%
Self-Paced Online

Self-Paced: 40 hours of content

USD $ 195.00
Purchase Self-Paced Course
Instructor-Led Online

Instructor-Led: 5 days (live or virtual) 

USD $ 1110.00
Purchase Instructor-Led Course

Core AI Tools Covered

Scikit-learn

Scikit-learn

TensorFlow

TensorFlow

ChatGPT

ChatGPT

Jupyter Notebooks

Jupyter Notebooks