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
Job Roles & Industry Outlook
Business Intelligence Analyst
Transform data into actionable insights by applying AI-driven analytics to guide smarter business decisions.
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Data Science & AI Specialist
Turn complex datasets into actionable insights by applying AI and machine learning models to solve business challenges.
Machine Learning Scientist
Design, build, and deploy machine learning models that power AI applications and deliver real-world business solutions.
Industry Growth: AI+ Business Intelligence™
- 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.
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.
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
- 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 Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1: Introduction to AI and BI Fundamentals - 10%
- Module 2: Python for AI-Driven Business Intelligence - 10%
- Module 3: Data Preparation and Feature Engineering with AI - 10%
- Module 4: Machine Learning (ML) for Business Intelligence - 10%
- Module 5: Advanced AI and Generative AI for BI - 10%
- Module 6: Statistical Analysis with AI Tools - 10%
- Module 7: AI-Powered Business Intelligence Tools - 10%
- Module 8: Prompt Engineering for AI-Driven BI - 10%
- Module 9: Communication Skills - 10%
- Module 10: Capstone Project - 10%
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
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.