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100% fundable

AI+ Chief AI Officer Practitioner™

Those who not only use AI but understand and steer it shape organisations actively. This training develops the competencies needed to plan AI strategically, embed it ethically, and deploy it effectively across the enterprise.

Key topics

  • Linking AI initiatives to the strategic objectives of the organisation.
  • Using generative AI as an engine for data-driven decision-making.
  • Establishing governance structures, compliance, and security frameworks for AI systems.
  • Scaling AI processes and integrating them into existing business models.
  • Building effective collaboration between leadership, IT, and specialist departments in an AI environment.

Prerequisite
A good feel for digital business processes and an interest in strategic methods – in-depth IT knowledge is not required.

Target group
The training addresses decision-makers, innovation leaders, and executives who see AI not merely as a technical tool but as a strategic value driver.

AI+ Chief AI Officer Practitioner™ – the training for all who lead AI with ambition.
 

course content
  • Introduction to artificial intelligence and its key technologies
  • Responsibilities of the Chief AI Officer (CAIO)
  • Cybersecurity challenges in AI operations
  • Building and maintaining cross-departmental cooperation
  • Case study
  • Aligning AI initiatives with business objectives
  • Defining measurable success criteria
  • Identifying and prioritising innovation opportunities
  • Engaging stakeholders from different areas
  • Tracking progress and adapting plans
  • Case study
  • Key roles and competencies in the AI team
  • Attracting and retaining AI talent
  • Fostering a collaborative team culture
  • Embedding a culture of learning and development
  • Measuring and advancing team performance
  • Case study
  • Embedding ethical principles in AI development
  • Conducting impact assessments for AI systems
  • Developing risk minimisation strategies
  • Ensuring transparency and explainability
  • Governance models and frameworks for AI
  • Case study
  • The role of data in AI initiatives
  • Methods for assessing business impact
  • Measuring AI investments and demonstrating ROI
  • Hypothesis testing in AI projects
  • Targeted resource allocation and management
  • Case study
  • Strategies for shaping AI change processes
  • Communicating the value of AI initiatives internally
  • Recognising and addressing resistance constructively
  • Defining KPIs for transformation success
  • Case study
  • Assessing the potential and limitations of generative AI
  • Identifying innovation fields for generative AI
  • Embedding generative solutions in business processes
  • Recognising and managing risks of generative applications
  • Creating cross-departmental synergies
  • Case study
  • Discussing the project framework and objectives
  • Collaborative work sessions and exchange
  • Strengthening presentation skills
  • Final presentations with constructive feedback
  • Reflecting on key learning insights
  • Fundamentals and how AI agents work
  • Key functions for CAIO practice
  • Areas of application and future trends
  • How AI agents operate and make decisions
  • Core features and types of AI agents

Up to 100% funding for your continuing education

Attractive funding opportunities are available for numerous continuing education programs – depending on the funding program, up to 100% funding is possible.
The requirement is that you live or work in Germany. Our funding opportunities are not available outside of Germany.

Funding opportunities are available for career starters, job seekers, career changers, startups, experienced professionals, those seeking career advancement, and specialists.