Module 1
Foundations of Artificial Intelligence

This module provides a sound understanding of modern AI systems and their application possibilities in a corporate context.

Contents:

• Foundations of Artificial Intelligence
• Generative AI and Large Language Models
• Agentic AI and autonomous systems
• Opportunities, limitations and current developments
• Classification of relevant AI applications

Learning objective:
You understand the technological foundations of modern AI systems and can realistically evaluate their application potential. 

Module 2
AI in business practice

AI is transforming almost every business area. Using concrete use cases, this module demonstrates how AI is already being productively deployed today.

Contents:

• Applications in marketing, HR, sales,
• Customer service and administration
• Productivity increase through AI
• Typical risks and sources of error
• Data protection, copyright and bias
• Practical examples from companies

Learning objective:
You recognize opportunities and risks of various AI applications and can assess their use in your own company.

Module 3
EU AI Act and regulatory requirements

The EU AI Act creates a new legal framework for the use of Artificial Intelligence. This module covers the essential regulatory foundations.

Contents:

• Objectives and Systematics of the EU AI Act
• Risk categories of AI systems
• Roles and responsibilities
• Transparency obligations
• Requirements for high-risk AI
• AI Literacy according to Article 4

Learning objective:
You understand the regulatory requirements and can assess their impact on your company.

Module 4
AI competence and organizational responsibility

Successful AI implementation does not start with technology, but with people. This module covers building sustainable AI competence within the company.

Contents:

• AI Literacy in Practice
• Roles and responsibilities
• Employee awareness and training
  Internal policies
• Building a responsible AI culture

Learning objective:
You are developing concepts to sustainably anchor AI literacy in your organization.

Module 5
AI governance and compliance

Effective governance creates clear structures for the safe use of AI.

Contents:

• Fundamentals of AI Governance
• Governance models
• Documentation and traceability
• Risk management
• Collaboration with Data Protection, Compliance and IT
• Internal control mechanisms

Learning objective:
You can develop governance structures that support the responsible use of AI.

Module 6
The Role of the AI Officer

This module defines the tasks, competencies, and responsibilities of an AI officer within the company.

Contents:

• Role profile and responsibilities
• Consulting for departments and management
• Evaluation of new AI applications
• Documentation and reporting requirements
• Collaboration with internal and external stakeholders

Learning objective:
You know the requirements for the role of the AI Officer and can fulfill them professionally in your organization.

Module 7
Hands-on Workshop: Assessing Risks, Using AI Responsibly

Based on real-world business scenarios, participants immediately apply the acquired knowledge.

Contents:

Analysis of concrete AI use cases
Identification of regulatory risks
Development of appropriate governance measures
Development of practical recommendations for action
Group work and case studies

Learning objective:
You gain confidence in evaluating and managing specific AI projects.

Module 8
Final project and certification

Finally, participants apply their knowledge to a practical corporate case study and document their recommendations for action.

Contents:

• Processing of a comprehensive case study
• Development of an AI governance roadmap
• Final test
• Feedback and reflection

Learning objective:
You demonstrate your acquired skills and successfully complete the further training with the university certificate „AI Officer“.

Your added value at a glance
Upon successful completion of the advanced training, you will be able to,

• To responsibly guide AI projects,
• to reliably classify the regulatory requirements of the EU AI Act,
• building governance and compliance structures,
• Identifying and assessing risks early,
  to competently advise departments and management,
• to sustainably shape the responsible use of Artificial Intelligence in your organization.