From Requirement to Innovation – AI Makes It Possible!

The rapid development of Artificial Intelligence is transforming the economy, society, and business processes at breathtaking speed. With the EU AI Act and the introduction of the role of the AI Officer, a new and crucial area of responsibility is emerging within organizations.
Our certificate program provides you with the essential technical expertise and legal competence to implement AI responsibly, securely, and effectively in your organization – ensuring compliance with regulatory requirements.

What can you expect?

We enable you to develop AI competence from both a technical and legal perspective in accordance with Art. 4 “AI Competence” of the EU AI Act.
The certificate program for AI Officers offers a comprehensive, practice-oriented training for this new key role within organizations.
Led by experienced experts, you will be prepared for the diverse challenges and opportunities of AI.
You will gain an understanding of both the technical fundamentals of AI systems and their legal framework, while also developing skills for the management of AI projects.

Participant Requirements

• Basic understanding of IT systems and business processes
• Interest in AI applications, technology management, and legal issues
• No advanced programming skills required – technical content is taught in a practical, hands-on manner

Technical Requirements

• Laptop/PC with internet access
• Up-to-date browser (Chrome, Edge, Firefox, or Safari)
• Optional: Access to common collaboration and meeting tools (e.g., MS Teams, Zoom)
• For practical exercises: Ability to install software locally or use cloud environments

Your Benefits:

• Comprehensive qualification: Technical and legal expertise combined in a compact program
• Future-proofing: Developing competence in accordance with the EU AI Act
• Practical relevance: Exercises, case studies, and tools you can directly apply in your organization
• Expert knowledge: Training delivered by experienced practitioners in technology, law, and management

Training Content in Detail

Technical Part

1. Introduction to AI
   • History of AI
   • Strong AI vs. Weak AI
2. Technical Fundamentals
   • Machine Learning, Neural Networks, Training Processes
   • Mathematical Foundations & Optimization Methods
3. Real-World Examples
   • Linear Regression, Image/Video Classification
   • CNNs, Reinforcement Learning
4. Generative AI (GenAI)
   • GANs, Transformers, LLMs, Multimodal Models
   • Agent Architectures & Prompt Chaining
5. Evaluation, Assessment & Ethics
   • Metrics, Explainable AI, Data Bias
   • Security & Adversarial Attacks
6. AI Management in Organizations
7. Practical Workshops
   • Automations, AI Agents, Low-Code Applications

Legal Part

1. AI Regulation (AI Act)
   • Classification of AI systems, provider obligations, sanctions
2. Data Protection
   • GDPR, Data Protection Impact Assessment, automated decisions
3. Trade Secret Protection
   • Requirements, risks associated with AI use
4. Copyright Law
   • Training data, AI system input/output
5. Liability in AI Applications
6. Optional: Co-determination rights of the works council