AI Manager

Course overview

The use of Artificial Intelligence is becoming increasingly important in companies and presents new professional, organizational, and legal requirements. This training provides the fundamentals to evaluate AI applications, plan their use, and accompany their implementation while considering economic efficiency, data protection, compliance, and ethical aspects. It also takes into account the requirements of the EU AI Regulation regarding the AI competence of employees. Learning Objectives: You will assess the potentials and risks of AI applications, plan and accompany their use in the company while considering economic, organizational, ethical, and legal requirements. Additionally, you will coordinate AI projects, evaluate their results, and document your acquired knowledge with the certificate "AI Manager (DEKRA)". Introduction to the Online Learning Format AI - Classification Definition and distinction of Artificial Intelligence (AI) AI in research and business AI in the company Evaluation of AI potentials Development and implementation of AI concepts AI - Methods Data acquisition and data management Big Data and Internet of Things (IoT) Machine Learning and Deep Learning Audiovisual data analysis Natural Language Processing AI - Use Cases AI in the company AI in retail AI in the service sector AI in production AI - Project Management Team development and motivation Definition of problems / objectives Ethical and legal aspects of AI The planning phase / Proof-of-concept Rolling Out Perspectives: With this qualification, you expand your competencies for tasks in the planning, implementation, and accompaniment of AI applications in companies. The acquired knowledge can be applied across industries in fields where Artificial Intelligence is used or introduced while considering legal, organizational, and ethical requirements. The certificate "AI Manager (DEKRA)" documents the acquired professional knowledge.

Upcoming dates

• 2026-11-02T23:00:00.000Z · 2027-01-10T23:00:00.000Z · Husum, Nordsee · Blended Learning
• 2026-11-02T23:00:00.000Z · 2027-01-10T23:00:00.000Z · Göttingen, Niedersachsen · Blended Learning
• 2026-11-02T23:00:00.000Z · 2027-01-10T23:00:00.000Z · Koblenz am Rhein · Blended Learning
• 2026-11-02T23:00:00.000Z · 2027-01-10T23:00:00.000Z · Lutherstadt Wittenberg · Blended Learning
• 2026-11-02T23:00:00.000Z · 2027-01-10T23:00:00.000Z · Weimar, Thüringen · Blended Learning