AI+ Business Intelligence (AT-820 Self-Paced Training)
Ziele der Schulung
AI+ Business Intelligence certification is designed to equip learners with the skills to merge Artificial Intelligence (AI) and Business Intelligence (BI) for advanced data analytics, predictive modeling, and AI-driven decision-making. Participants will learn how to leverage tools such as Python, Power BI, Tableau, and AI analytics techniques to extract actionable insights from data, enabling smarter business decisions and strategic growth. The program emphasizes real-world applications through hands-on activities, case studies, and a capstone project, preparing learners to apply their skills immediately in business environments. What Will You Learn? You will gain proficiency in integrating AI with BI, building predictive models, using data visualization tools, working with advanced analytics, and communicating data-driven insights effectively.
Zielgruppe Seminar
- 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.
Voraussetzungen
- Basic Computer Skills: Familiarity with software applications
- Foundational Data Concepts: Basic knowledge of data analysis (beneficial, not mandatory)
- Suitable for all expertise levels, with an interest in AI, ML, and BI
Seminarinhalt
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 & Evaluatio
- 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 Essential
- 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
Hinweise
Prüfung und Zertifizierung
- Duration: 90 minutes
- Passing Score: 70% (35/50)
- Format: 50 multiple-choice/multiple-response questions
- Delivery Method: Online via proctored exam platform (flexible scheduling)
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