AI+ Business Intelligence™ - eLearning (exam included)

AI+ Business Intelligence™ - eLearning (exam included)

The AI+ Business Intelligence™ certification trains you to harness AI and BI tools for smarter, data-driven decision-making. You’ll cover core AI and BI concepts, data preparation, machine learning, and advanced AI techniques like deep learning and generative AI. Hands-on work with Python, Power BI, Tableau, and other BI platforms will build skills in data visualization, statistical analysis, and predictive modeling.

Throughout the program, you’ll apply AI and BI methods to real business scenarios, learning how these technologies drive growth. The certification concludes with a capstone project, allowing you to demonstrate practical application of your knowledge.

Boost Your Career with AI + Business Intelligence™ for Data Excellence

• Harness AI-driven Business Intelligence to maximize the value of data.
• Use advanced tools to turn raw data into meaningful insights.
• Make faster, smarter decisions aligned with business strategy.
• Fuel growth by uncovering trends, opportunities, and potential risks.
• Promote innovation through data-driven strategies and predictive analytics.

Why This Certification Matters

• AI-Powered Project Forecasting: Use AI to predict project risks and adjust schedules for timely delivery.

• Workflow Automation with AI: Enhance efficiency by streamlining processes and reducing operational costs.

• Optimized Resource Management: Leverage AI to assign tasks and allocate resources effectively.

• Real-Time Decision Support: Make instant, data-driven project decisions using AI insights.

• Automated Reporting: Generate accurate and timely stakeholder reports through AI automation.

Industry Growth: Driving Data-Driven Innovation Across Sectors

• Market Growth: The global business intelligence market is projected to reach $42.9 billion by 2027, growing at a CAGR of 7.6% since 2020 (Source: Fortune Business Insights).
• Rising Demand: Increased data generation drives the need for BI tools to convert data into actionable insights.
• AI Integration: AI enhances predictive analytics, automation, and real-time decision-making, boosting BI adoption.
• Industry Adoption: Sectors like healthcare, finance, retail, and manufacturing use BI to improve efficiency, customer experience, and profitability.
• Cloud Solutions: Cloud-based BI offers scalable analytics without heavy infrastructure costs, accelerating market growth.

Key Features

• Course and material in English 
• Intermediate level  (Category: AI+ Technical)
• 1 year access to the platform 24/7
• 40 hours of video lessons & multimedia resources

• 50 hours of study time recommendation 
• Quizzes, Assessments, and Course Resources
• Online Proctored Exam with One Free Retake

• Certification of completion included valid for 1 year

• Virtual Hands-on Lab included
• Tools You’ll Master: Scikit-learn, TensorFlow, ChatGPT, Jupyter Notebooks

Learning Outcomes

• AI and BI Integration: Learn how Artificial Intelligence (AI) and Business Intelligence (BI) work together to enable data-driven decision-making.
• Python for BI: Develop Python skills for business intelligence, including advanced libraries and data visualization for effective analysis.
• Data Preparation and Feature Engineering: Acquire techniques to collect, clean, and prepare high-quality data for AI and machine learning models.
• Machine Learning Models: Apply machine learning methods to enhance business intelligence and generate predictive insights from data.

Target Audience

• Business Analysts: Enhance your analytical skills using AI-driven business intelligence.
• Data Professionals: Combine AI and BI to uncover actionable insights.
• Executives & Leaders: Use AI and BI to make smarter strategic decisions.
• Tech Enthusiasts: Discover how AI and BI are transforming business practices.
• Consultants: Implement AI and BI solutions to improve client outcomes.

Prerequisites

• Basic Computer Skills: Comfortable using standard software applications.
• Foundational Data Knowledge: Some understanding of data analysis is helpful but not required.
• Accessible to All: Open to anyone interested in AI, ML, and BI, regardless of prior experience..

Exam Details

• Duration: 90 minutes
• Passing :70% (35/50)
• Format: 50 multiple-choice/multiple-response questions
• Delivery Method: Online via proctored exam platform (flexible scheduling)
• Language: English

Course Content

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

Licensing and accreditation

This course is offered by AVC according to Partner Program Agreement and complies with the License Agreement requirements. 

Equity Policy

AVC does not provide accommodations due to a disability or medical condition of any students. Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.

FAQ

Can I apply these skills immediately?
Yes, the course provides hands-on experience through case studies and a capstone project, allowing you to apply AI and BI skills directly to real-world business scenarios.

What sets this course apart?
It uniquely integrates AI and BI, covering tools like Python, Power BI, and Tableau, along with advanced AI methods and prompt engineering.

What types of projects will I do?
You’ll work on predictive modeling, data analysis, and AI-driven BI dashboards, culminating in a capstone project addressing real business challenges.

How is the course structured for effective learning?
The course combines theory, case studies, interactive sessions, and hands-on exercises to ensure practical mastery of AI-powered business intelligence.

How does this course prepare me for the job market?
By developing expertise in AI and BI tools and completing a capstone project, you gain the skills and experience needed for high-demand roles across industries.

Recertification Requirements
AI+ Technical courses require recertification every year to keep your certification valid. Notifications will be sent three months before the due date

How Can AVC Help Foster an AI-Ready Culture?
While AI offers significant advantages, many organizations struggle with challenges like talent gaps, complex data environments, and system integration barriers. At AVC, we understand these obstacles and have tailored our certification programs to help businesses overcome them effectively.

Our strategic approach focuses on building a culture that embraces AI adoption and innovation. Through our industry-recognized certifications and in-depth training, we equip your workforce with the skills and knowledge needed to lead your organization confidently into an AI-powered future.

Customized for Impact: Our programs aren't one-size-fits-all. We offer specialized training designed by industry experts to equip your workforce with the specific skills and knowledge needed for critical AI roles.

Practical, Real-World Learning: We prioritize hands-on experience over theory, using real-world projects and case studies. This approach ensures your team gains the confidence and capability to implement AI solutions effectively, driving innovation and measurable business outcomes.