AI+ Business Intelligence™

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

Certificate Code: AT- 820

About This Course

  • 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

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 5 days (live or virtual) 
  • Self-Paced: 40 hours of content

Prerequisites

Familiarity with software applications, Basic knowledge of data analysis (beneficial, not mandatory), Suitable for all expertise levels, with an interest in AI, ML, and BI

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

1

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
2

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
3

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
4

Module 4: Machine Learning (ML) for Business Intelligence

  1. 4.1 ML Models for BI
  2. 4.2 Hands on Activity
5

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
6

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
7

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
8

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
9

Module 9: Communication Skills

  1. 9.1 Data Storytelling & Communication
  2. 9.2 Solution Presentation
10

Module 10: Capstone Project

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

AI Tools You'll Learn

Scikit-learn

Scikit-learn

TensorFlow

TensorFlow

ChatGPT

ChatGPT

Jupyter Notebooks

Jupyter Notebooks