AI+ Business Intelligence™ - eLearning (exam included)
448,00 EUR
- 40 hours
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.
Key Features
Language
Course and material in English
Level
Intermediate level (Category: AI+ Technical)
1 year platform access
and Virtual Hands-on Lab included
40 hours of video lessons & multimedia
50 hours of study time recommendation
Material
Video, PDF Material, audio eBook, Podcasts, quizzes and assessments.
Exam
Online Proctored Exam with One Free Retake
Certificate
Certification of completion included. Valid for 1 year
Tools You’ll Master
Scikit-learn, TensorFlow, ChatGPT, Jupyter Notebooks
About the course
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.
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.
Why This Certification Matters
Use AI to predict project risks and adjust schedules for timely delivery.
Learning Outcomes
At the end of this course, you will be able to:
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
Course timeline
Introduction to AI and BI Fundamentals
Lesson 1
- 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
Python for AI-Driven Business Intelligence
Lesson 2
- 2.1 Python Programming Fundamentals
- 2.2 Advanced Python Libraries for BI
- 2.3 Visualization with Python
- 2.4 Hands-on Activity
Data Preparation and Feature Engineering with AI
Lesson 3
- 3.1 Data Collection Techniques
- 3.2 Data Quality & Evaluation
- 3.3 Advanced Data Preparation
- 3.4 Hands-on Activity
Machine Learning (ML) for Business Intelligence
Lesson 4
- 4.1 ML Models for BI
- 4.2 Hands-on Activity
Advanced AI and Generative AI for BI
Lesson 5
- 5.1 Deep Learning and Neural Networks for BI
- 5.2 Generative AI for BI
- 5.3 Hands-on Activity
Statistical Analysis with AI Tools
Lesson 6
- 6.1 Statistical Analysis for BI
- 6.2 Time Series Analysis
- 6.3 Hands-on Activity
AI-Powered Business Intelligence Tools
Lesson 7
- 7.1 AI in BI Platforms
- 7.2 Power BI Essentials
- 7.3 Tableau Essentials
- 7.4 Hands-on Activity
Prompt Engineering for AI-Driven BI
Lesson 8
- 8.1 Introduction to Prompt Engineering
- 8.2 Crafting Effective Prompts
- 8.3 Hands-on Activity
Communication Skills
Lesson 9
- 9.1 Data Storytelling & Communication
- 9.2 Solution Presentation
Capstone Project
Lesson 10
- 10.1 Capstone Project 1
- 10.2 Capstone Project 2
- 10.3 Capstone Project 3
Who Should Enroll in this Program?
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.
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.
More Details
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
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.
Frequently Asked Questions
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