AI+ Business Intelligence™

AT- 820

Empower Your Career with AI + Business Intelligence™ for Advanced Data Solutions
  • 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.
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Why This Certification Matters

AI-Driven Predictive Analytics for Project Success: Leverage AI to forecast potential project roadblocks and adjust timelines to ensure on-time delivery.
Automated Workflow Optimization with AI: Streamline project workflows using AI to eliminate inefficiencies, saving time and reducing operational costs.
AI for Resource Allocation: Optimize resource distribution and task assignment using AI for maximum efficiency.
AI for Real-Time Decisions: Make data-driven decisions instantly with AI-generated project insights.
AI for Reporting: Automate stakeholder reports with AI for clear, timely, and accurate updates.

At a Glance: Course + Exam Overview

Program Name 
AI+ Business Intelligence™
Included 
Instructor-led OR Self-paced course + Official exam + Digital badge
Duration 
  • Instructor-Led: 5 day (live or virtual) 
  • Self-Paced: 30 hours of content
Prerequisites
Basics of project management principles, General knowledge of AI, Willingness to learn and apply AI-based tools, Experience in managing or overseeing projects.
Exam Format
50 questions, 70% passing, 90 minutes, online proctored exam
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience
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Who Should Enroll?

  • Business Analysts: Sharpen your skills in data-driven strategies and AI-enhanced business intelligence for improved analysis. 

  • Data Professionals: Expand your expertise by merging AI with business intelligence to extract actionable insights. 

  • Executives and Leaders: Leverage AI and BI to craft smarter business strategies and boost organizational performance. 

  • Tech Enthusiasts: Explore the intersection of AI and business intelligence and understand how these technologies are transforming industries. 

  • Consultants: Add value to your clients by implementing AI and BI solutions to optimize business outcomes. 

Job Roles & Industry Outlook 

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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.

Industry Growth: Empowering Strategic Decisions and Innovation through AI-Driven Business Intelligence.

  • The global business intelligence market is expected to reach $42.9 billion by 2027, growing at a CAGR of 7.6% from 2020. (Source: Fortune Business Insights).
  • As businesses collect more data, the demand for BI tools to turn data into actionable insights continues to rise.
  • The integration of AI with business intelligence is driving innovations in predictive analytics, automation, and real-time decision-making, accelerating BI adoption.
  • Sectors like healthcare, finance, retail, and manufacturing are adopting BI to enhance efficiency, customer experience, and profitability.
  • Cloud-based BI solutions are driving growth by offering scalable analytics without heavy infrastructure costs.
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Skills You’ll Gain

  • AI & Machine Learning, Data Visualization Tools (Tableau, Power BI, Qlik)
  • Advanced Analytics (Regression, Clustering, Forecasting)
  • Big Data Technologies (Hadoop, Spark, NoSQL), Data Warehousing

What You'll Learn

  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 
  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 
  1. 3.1 Data Collection Techniques
  2. 3.2 Data Quality & Evaluation
  3. 3.3 Advanced Data Preparation
  4. 3.4 Hands-on Activity 
  1. 4.1 ML Models for BI
  2. 4.2 Hands-on Activity 
  1. 5.1 Deep Learning and Neural Networks for BI
  2. 5.2 Generative AI for BI
  3. 5.3 Hands-on Activity 
  1. 6.1 Statistical Analysis for BI
  2. 6.2 Time Series Analysis
  3. 6.3 Hands-on Activity 
  1. 7.1 AI in BI Platforms
  2. 7.2 Power BI Essentials
  3. 7.3 Tableau Essentials
  4. 7.4 Hands-on Activity 
  1. 8.1 Introduction to Prompt Engineering
  2. 8.2 Crafting Effective Prompts
  3. 8.3 Hands-on Activity 
  1. 9.1 Data Storytelling & Communication
  2. 9.2 Solution Presentation 
  1. 10.1 Capstone Project 1
  2. 10.2 Capstone Project 2
  3. 10.3 Capstone Project 3 

Tools You’ll Master

Tool Scikit-learn

Scikit-learn

Tool TensorFlow

TensorFlow

Tool ChatGPT

ChatGPT

Tool Jupyter Notebooks

Jupyter Notebooks

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% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

  • Introduction to AI and BI Fundamentals – 5%
  • Python for AI-Driven Business Intelligence – 7%
  • 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 – 11%
  • Prompt Engineering for AI-Driven BI – 11%
  • Communication Skills – 11%
  • Capstone Project – 11%

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts
  • AI Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Online Proctored Exam with One Free Retake
  • Comprehensive Exam Study Guide

Instructor-Led (Live Virtual/Classroom)

  • 5 days of intensive training with live demos
  • Real-time Q&A, peer collaboration, and hands-on labs
  • Led by AI Certified Trainers and delivered through Authorized Training Partners
Purchase Instructor-Led Course

Self-Paced Online

  • ~30 hours of on-demand video lessons, e-book, podcasts, and interactive labs
  • Learn anywhere, anytime, with modular quizzes to track progress
Purchase Self-Paced Course

Frequently Asked Questions

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.

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.

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.

The course blends theory, case studies, hands-on activities, and interactive sessions to ensure practical application of AI-driven business intelligence.

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.