AI Management and Officer

Course overview

Objective The training program provides comprehensive knowledge in the management of Artificial Intelligence (AI). It enables participants to strategically deploy AI systems, recognize opportunities, and actively shape digital transformation. A focus is placed on the effective use and control of AI models through targeted prompt engineering, as well as adherence to regulatory and ethical frameworks in the use of AI. Contents The training is divided into two main modules: AI Management: Prompt Engineering Fundamentals of Artificial Intelligence and language models Introduction to AI management and prompt engineering Building effective prompts: structure and language choice Goal definition and task formulation in prompt engineering Techniques for contextualization and detailing EXCURSION: Hallucinations in AI models EXCURSION: Prompting for image generation AI Officer Introduction to the role of the AI Officer Overview of the EU AI Act and relevant legislation Ethical guidelines and responsibilities in AI development Risk management and compliance in AI applications Data protection and data security in AI systems Transparency and traceability of AI models Implementation of audit and certification processes Use cases and best practices from practice Documentation and reporting in AI projects Stakeholder management and communication in the AI environment Training and awareness programs for AI Change management and implementation strategies Evaluation of AI systems: metrics and performance analysis Future perspectives and continuous development in AI management Importance of critical thinking in AI management Tools for critical thinking in the AI context Learning Objectives Upon completion of the training, participants will be able to: Understand the fundamentals of Artificial Intelligence and language models. Develop and optimize effective prompts for AI systems. Use AI as a strategic tool in the company. Understand and apply regulatory requirements, particularly the EU AI Act. Consider ethical principles and responsibilities in the AI environment. Identify and manage risks in the use of AI. Ensure data protection and security aspects in AI applications. Implement processes for transparency, auditing, and certification of AI systems. Document AI projects and effectively manage stakeholders. Develop strategies for the implementation and further development of AI in the company. Apply critical thinking in dealing with AI technologies. Career Perspectives The acquired competencies qualify for activities in the field of AI management, AI strategy, and AI compliance. Graduates can work as AI Officers, AI Managers, or in project management roles in the IT and digitalization sector. The content is relevant for roles that deal with the implementation, control, and strategic use of AI systems in companies.

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bremen · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Dortmund · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-10-25T23:00:00.000Z · 2026-12-17T23:00:00.000Z · Eschborn, Taunus · Combined Learning