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 Change 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 Change Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Change roadmaps
- Stakeholder maps
- Communication plans
- Adoption sprints
- Pulse surveys
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 Change 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 Change Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Change roadmaps
- Stakeholder maps
- Communication plans
- Adoption sprints
- Pulse surveys
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 Change 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 Change Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Change roadmaps
- Stakeholder maps
- Communication plans
- Adoption sprints
- Pulse surveys
- The rationale and mindset for leadership in a VUCA (Volatility, Uncertainty, Complexity, Ambiguity) world.
- Fundamentals and theory of OKRs.
- The OKR cycle and its stages.
- Achieving strategic clarity through the construction of a strategy pyramid.
- Cultivating a conducive environment through culture and psychological safety.
- Setting effective Objectives and crafting qualitative goals that inspire action.
- Implementing OKRs, including various implementation models.
- Engineering Key Results by defining metrics that measure impact.
- Understanding the alignment puzzle and synchronizing the organization.
- A practical exercise for applying OKR principles.
- Translating strategy into action through initiatives and roadmaps.
- The ongoing integration of OKRs through practical check-ins.
- Utilizing CFRs (Conversations, Feedback, Recognition) and coaching to focus on individuals.
- Institutionalizing learning through reviews and retrospectives.
- Managing the transformation and rollout for widespread adoption.
Learning Objectives
- Understand the principles and benefits of the OKR framework.
- Develop the ability to set clear and measurable Objectives and Key Results.
- Implement OKR cycles within an organizational context.
- Foster strategic alignment and improve organizational agility.
- Apply methods for continuous improvement and learning through reviews and feedback.
Course 2: Ethics and Law in Artificial Intelligence
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 Change 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 Change Managers serve as worked examples in the exercises; they can be adapted to other fields of activity during the course:
- Change roadmaps
- Stakeholder maps
- Communication plans
- Adoption sprints
- Pulse surveys
- Introduction to ethics and law in Artificial Intelligence.
- An overview of the EU AI Act.
- Ensuring transparency and traceability in AI systems.
- Data protection and data security in Artificial Intelligence applications.
- Addressing algorithmic fairness and preventing discrimination.
- Core ethical principles in the development and deployment of AI.
- Governance and compliance strategies for AI.
- International perspectives and comparative analyses of AI regulations and ethics.
Learning Objectives
- Identify and analyze ethical challenges in AI.
- Understand the legal framework, including the EU AI Act.
- Evaluate and implement measures for data privacy and security in AI.
- Assess and promote fairness in AI algorithms.
- Develop strategies for responsible AI governance and compliance.
Career Prospects
This program is relevant for professionals in roles such as project management, strategic planning, organizational development, leadership positions, and roles within legal or compliance departments dealing with technology. The acquired skills are applicable in sectors requiring strategic goal setting and responsible technological implementation, including IT, management consulting, and innovation management.