AI+ Business Intelligence™

  • 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
Enroll Now
AI+ Business Intelligence™
Self-Paced: $495
Instructor-Led: $595

At a Glance: Course + Exam Overview

Category AI Data & Robotics, AI Technical, All Courses, Available Now, Business Analyst, Business Intelligence Analyst, Data Scientist, English, Financial Analyst, Language
Program Name AI+ Business Intelligence™
Duration Instructor-Led:5 days (live or virtual) | Self-Paced:40 hours (5 Days)
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, online proctored exam

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 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 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

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

Finish the course and get certified

Course Certificate

Industry Opportunities

AI Solutions Architect

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

Operations Manager (AI-Driven)

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

Chief Data Officer (CDO)

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

Product Manager (AI & BI Solutions)

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

Frequently Asked Questions

Prerequisites

Exam Details

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

Self-Paced Online: 40 hours (5 Days)

Price: $495

Instructor-Led Online

Instructor-Led Online: 5 days (live or virtual)

Price: $595

Core AI Tools Covered