Program Objectives
This training program is open to anyone interested in expanding their professional skills. The practical examples and exercises are chosen so they map well to the daily work of Financial Controllers; participation is expressly open to everyone, regardless of current professional role. The course teaches methods, tools, and content that can be applied in many different work contexts.
The following typical tasks from the daily work of Financial Controllers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Rolling forecasts
- Actual-vs-plan analysis
- Management reports
- Margin analyses
- Variance analyses
The program is divided into two core areas:
- Ethik und Recht in der Künstlichen Intelligenz*
- Introduction to Ethics and Law in Artificial Intelligence
- Overview of the EU AI Act
- Transparency and Explainability of AI Systems
- Data Protection and Data Security in Artificial Intelligence
- Algorithmic Fairness and Freedom from Discrimination
- Ethical Principles in Artificial Intelligence
- Governance and Compliance in AI
- International Perspectives and Comparisons
- ITIL® 4 Specialist: Plan, Implement and Control*
- Introduction to ITIL 4 and Key Practices
- Change Enablement: Fundamentals, Methods, Techniques, Implementation & Improvement
- Deployment Management: Overview, Processes, Best Practices, Implementation & Improvement
- Release Management: Fundamentals, Planning & Coordination, Implementation & Improvement
- Service Configuration Management: Introduction, Processes & Tools, Implementation & Improvement
- IT Asset Management: Fundamentals, Lifecycle Management
- Integration of Practices
- Preparation for the Certification Exam
- Case Studies and Practical Applications
- Continuous Improvement in the ITIL Context
- Conclusion and Feedback
Learning Objectives
Upon completion of this program, participants will be able to:
- Analyze ethical dilemmas and legal frameworks related to AI.
- Develop concrete options for action to enable informed decisions in AI contexts.
- Understand and apply the principles of the EU AI Act.
- Evaluate transparency, data protection, and algorithmic fairness in AI systems.
- Implement governance and compliance strategies for AI.
- Master the planning, implementation, and control of IT services according to ITIL 4.
- Effectively manage Change Enablement, Deployment Management, Release Management, Service Configuration Management, and IT Asset Management.
- Integrate various ITIL practices for improved service delivery.
- Apply learned concepts through case studies and practical exercises.
Career Prospects
The competencies acquired in this program are applicable to a wide range of professional roles. In the field of AI, this includes positions in IT project management, software development, data analysis, and consulting, focusing on the development, implementation, and management of AI applications. Within IT service management, participants will be well-prepared for roles involving the planning, implementation, and control of IT services, contributing to the optimization of IT operations and strategic alignment.