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AI+ Business Intelligence Practitioner™

  • 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
AI+ Business Intelligence Practitioner™

Level
beginner

Duration
40 hours (5 Days)

Format
Self-Paced Online

🎖

Certification
AI CERTs®

Self-Paced Online

USD $ 495.00

Instructor-Led Online

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 AI Technical All Courses Business Analyst Business Intelligence Analyst Data Scientist English Financial Analyst Language
Program Name
AI+ Business Intelligence Practitioner™
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
50 questions, 70% passing, 90 Minutes

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 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.

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Product Manager (AI & BI Solutions)

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

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

Duration

90 Minutes

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Introduction to Al and BI Fundamentals 5%
Python for Al-Driven Business Intelligence 7%
Data Preparation and Feature Engineering with AI 11%
Machine Learning (ML) for Business Intelligence 11%
Advanced Al and Generative Al for BI 11%
Statistical Analysis with Al Tools 11%
Al-Powered Business Intelligence Tools 11%
Prompt Engineering for Al-Driven BI 11%
Communication Skills 11%
Capstone Project 11%
Self-Paced Online
Instructor-Led Online

Core AI Tools Covered

Scikit-learn

Scikit-learn

TensorFlow

TensorFlow

ChatGPT

ChatGPT

Jupyter Notebooks

Jupyter Notebooks