Reviews 4,2
Reviews 4,5
AI+ Business Intelligence Practitioner™
Data-driven decisions don’t happen by chance – they require structure, analysis, and the right tools. This course connects business intelligence with modern AI methods and sharpens analytical thinking.
Key topics
- Building intelligent analyses with AI support.
- Increasing efficiency through automated data workflows.
- Improving decision quality with robust data models.
- Exploring future technologies in AI, reporting, and forecasting.
- Applying systematic quality assurance in data processes.
Prerequisite
Anyone already working with digital tools and interested in analytical approaches can get started right away.
Target group
Suitable for analysts, project managers, and anyone looking to work more effectively in data-rich environments.
The result: a solid foundation for an analytical career and a clear advantage in data-driven settings.
course content
AI and Business Intelligence – a joint introduction
- How AI and BI work together – an overview
- Foundational concepts and methods of BI
- AI as a driver in the data analysis process
- Current developments and hurdles in the BI landscape
- Real-world example from a business context
- Hands-on application
Python in a BI context – fundamentals and practice
- Getting started with Python programming
- Extended libraries for analytics and visualization
- Making data visible with Python
- Application tasks for deeper understanding
Data preparation and intelligent feature engineering
- Methods for structured data collection
- Quality checks and evaluation of datasets
- Complex preparation methods in practice
- Application tasks for deeper understanding
Applying ML methods effectively in BI
- Building and selecting appropriate ML models
- Application in a practical context
Generative AI and deep learning in BI practice
- Neural networks and deep learning approaches
- Generative AI as a BI tool
- Application in a practical context
Statistical methods in AI-supported use
- Statistical procedures and their application in BI
- Evaluating time series data
- Application in a practical context
BI platforms with AI support
- AI functions in modern BI environments
- Power BI in practical use
- Tableau – basics and areas of application
- Application tasks for deeper understanding
Effective prompts for AI-based BI analytics
- Fundamentals and principles of prompt engineering
- Developing and refining prompts
- Application in a practical context
Communicating data – storytelling and presentation
- Making insights understandable through storytelling
- Presenting results in a structured way
Final project for comprehensive consolidation
- Final project – Part 1
- Final project – Part 2
- Final project – Part 3
Up to 100% funding for your continuing education
Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.
Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.
