Why This Certification Matters

  • Comprehensive Learning Experience: Learn essential AI and BI concepts covering data preparation, predictive modeling, deep learning, and generative AI to strengthen your value in data-driven organizations.

  • Learn High-Demand Skills: Master Python, Power BI, Tableau, and machine learning techniques through practical exercises that prepare you to apply these tools in real-world scenarios.

  • Real-World Applications: Apply your knowledge through hands-on activities and a capstone project that strengthens your ability to make smarter, data-driven business decisions confidently.

  • Stay Ahead in the Industry: Gain expertise that positions you competitively in fast-growing AI and BI fields, helping you adapt and thrive in evolving business landscapes.

At a Glance: Course + Exam Overview

Program Name
AI+ Business Intelligence Practitioner™
Included
Instructor-led OR Self-paced course + Official exam + Digital badge
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
Delivery
Online labs, projects, case studies
Outcome
Industry-recognized credential + hands-on experience

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.

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

  • 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

  • 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 Master

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 proctored exam

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 (live or virtual) Self-Paced: 40 hours of content
  • 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 content
  • Learn anywhere, anytime, with modular quizzes to track progress
Need More Flexibility?

Need More Flexibility?

To help you along your way, we can help you set up a customizable payment plan. Just book a call, we’ll provide you with the details!

Let's Arrange a Call

9/10 of our learners achieve their learning objectives after successful completionProcess Advisors

fortray global services

Hear it from our Alumni

fortray global services Success Stories
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Anu Lanish

IT Service Desk Technician

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Rahul Raj Nalam

Network Security (Traineeship)

My path to cloud architecture had its hurdles, but Fortray was there every step of the way. They provided valuable insights into cloud technologies and architectural design. With their guidance, I turned challenges into opportunities, and today, as a Cloud Architect, I help organizations leverage the cloud for their growth and success.
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Cloud Architect

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Cybersecurity Engineer

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Full Stack Web Developer

This course improved my understanding of project management methodologies and workflows. I gained practical skills to plan and execute projects effectively.
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Naga Manikanta Kartheek

Project Management

The course provided valuable hands-on experience in data analysis tools and techniques. It enhanced my ability to extract meaningful insights from data.
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Arsha Amir Khan

Data Analyst

The training helped me build strong analytical skills and understand how to work with real-world data science problems effectively.
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Sai Praneeth Reddy

Data Scientist

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Subbhashree Varatharajan

Automation Test Engineer

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.