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 Digital Transformation Managers; 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 Digital Transformation Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Digital roadmaps
- Tool stacks
- Adoption paths
- Process-mining audits
- Automation backlog
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 Digital Transformation Managers; 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 Digital Transformation Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Digital roadmaps
- Tool stacks
- Adoption paths
- Process-mining audits
- Automation backlog
- 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
Learning Objectives
- Understanding of ethical and legal frameworks for AI.
- Familiarity with the EU AI Act and its implications.
- Ability to assess and address issues of transparency, data protection, and algorithmic fairness.
- Development of skills in AI governance and compliance.
- Awareness of international approaches to AI ethics and law.
Design Thinking
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 Digital Transformation Managers; 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 Digital Transformation Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Digital roadmaps
- Tool stacks
- Adoption paths
- Process-mining audits
- Automation backlog
- Introduction to Design Thinking
- Principles of Design Thinking
- Application Areas: In what context should innovation arise?
- Ideation and Creativity Techniques
- Prototyping and Experimentation
- Iterative Work and Feedback Loops
- Teamwork and Interdisciplinary Collaboration
- Innovation Culture and Error Culture
- Scaling and Integration of Design Thinking
- Measuring Success and Continuous Improvement
- Final Project and Outlook
Learning Objectives
- Application of Design Thinking principles to problem-solving.
- Proficiency in user needs analysis and empathy mapping.
- Skill in generating and evaluating creative ideas.
- Experience in prototyping and iterative development.
- Ability to foster collaboration and an innovation-oriented culture.
Career Prospects
This program provides participants with a dual skillset applicable to roles requiring both technical understanding and innovative approaches. Graduates will be well-prepared for positions in fields such as AI ethics consulting, product development, innovation management, and IT project management, where understanding the ethical implications of technology and applying user-centered design principles are crucial. The acquired competencies are relevant for roles involving the development, implementation, and responsible management of AI systems and innovative solutions.