ChatGPT and AI Officer

Course overview

Course Objective The training program provides comprehensive knowledge in the field of Artificial Intelligence (AI), with a particular focus on the practical application of generative AI models such as ChatGPT and on strategic AI management. The fundamentals and advanced functions of AI systems are explained to unlock their potential in various application areas. Furthermore, the legal, ethical, and security-related aspects of dealing with AI are highlighted to ensure responsible implementation and use. Content The training is divided into the following topics: Insight into the world of artificial intelligence Basics of generative AI Working with ChatGPT and its additional features Other generative language models (LLMs) and their applications Safety in dealing with AI systems and data protection Application scenarios of AI in various domains 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 for AI applications Transparency and traceability of AI models Implementation of audit and certification processes Use cases and best practices in AI management 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 for AI 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 and apply the fundamentals and functionalities of generative AI. Engage in effective dialogues with ChatGPT and utilize its potential in various scenarios. Understand the role of an AI Officer and make strategic decisions in the AI environment. Interpret and apply legal frameworks such as the EU AI Act. Consider ethical principles and security aspects in the development and implementation of AI. Identify risks associated with AI and develop appropriate management and compliance strategies. Ensure data protection and data security in AI systems. Promote the transparency and traceability of AI models. Implement audit and certification processes for AI applications. Critically evaluate AI systems and analyze their performance. Design change management processes in the context of AI implementation. Career Perspectives The acquired competencies qualify participants for roles in strategic AI management and the operational application of AI technologies. Possible fields of application include consulting, implementing, and coordinating AI projects, as well as taking on responsibilities as an AI Officer in companies. The content is relevant for roles in IT management, project management, software development, and data analysis that deal with the introduction and management of…

Upcoming dates

• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Bremen · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bielefeld · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Dortmund · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-04-08T22:00:00.000Z · Bielefeld · Combined Learning
• 2026-12-20T23:00:00.000Z · 2027-02-11T23:00:00.000Z · Bremen · Combined Learning