AI+ Business Intelligence™
AT- 820
Empower Your Career with AI+ Business Intelligence™ for Advanced Data Solutions- 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
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
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
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.
Industry Growth: Empowering Strategic Decisions and Innovation through AI-Driven Business Intelligence
- The global business intelligence market size is expected to reach USD 39.35 billion by 2027, growing at a CAGR of 8.5% during the forecast period. (Source: GlobeNewswire)
- 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.
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 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
- 2.1 Python Programming Fundamentals
- 2.2 Advanced Python Libraries for BI
- 2.3 Visualization with Python
- 2.4 Hands on Activity
- 3.1 Data Collection Techniques
- 3.2 Data Quality & Evaluation
- 3.3 Advanced Data Preparation
- 3.4 Hands on Activity
- 4.1 ML Models for BI
- 4.2 Hands on Activity
- 5.1 Deep Learning and Neural Networks for BI
- 5.2 Generative AI for BI
- 5.3 Hands on Activity
- 6.1 Statistical Analysis for BI
- 6.2 Time Series Analysis
- 6.3 Hands on Activity
- 7.1 AI in BI Platforms
- 7.2 Power BI Essentials
- 7.3 Tableau Essentials
- 7.4 Hands on Activity
- 8.1 Introduction to Prompt Engineering
- 8.2 Crafting Effective Prompts
- 8.3 Hands on Activity
- 9.1 Data Storytelling & Communication
- 9.2 Solution Presentation
- 10.1 Capstone Project 1
- 10.2 Capstone Project 2
- 10.3 Capstone Project 3
Tools You'll Explore
Scikit-learn
TensorFlow
ChatGPT
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 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%
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
- Access for Tablet & Phone
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
Self-Paced Online
- ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently 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.
