AI Engineer with Additional Qualification in AI: Legal Foundations & Challenges

Course overview

The training for AI Engineer provides a solid understanding of how Artificial Intelligence (AI) and agents are used in modern AI projects. Participants learn about the role of Artificial Intelligence (AI) in analysis and development processes and how agents are utilized to develop, verify, or support specific functions. Practical examples illustrate how Artificial Intelligence (AI) and agents are used together to address technical and professional questions. Another focus is on how Artificial Intelligence (AI) and agents can be evaluated and applied in different project situations. Exercises demonstrate how Artificial Intelligence (AI) contributes to structuring, while agents bring additional methodological or functional aspects. Participants also reflect on how Artificial Intelligence (AI) and agents are used in teams working on data-driven or AI-based solutions. Furthermore, the organizational requirements that arise when integrating Artificial Intelligence (AI) and agents into existing workflows are considered. Examples clarify how Artificial Intelligence (AI) helps to structure processes and how agents can be used complementarily to better document or analyze results. The handling of changes brought about by Artificial Intelligence (AI) and agents is also addressed. In the next step, it will be shown how Artificial Intelligence (AI) and agents can contribute to the long-term development of projects. Participants will work on how Artificial Intelligence (AI) and agents can be used to build sustainable structures, accompany innovation processes, or identify new fields of application. Agenda: 1. Classification of the role of AI Engineer 2. Fundamentals of modern AI and data processes 3. Application possibilities of selected AI methods 4. Structuring technical and professional requirements 5. Implementation of practical application examples 6. Collaboration with development teams and departments 7. Documentation and traceability 8. Further development of technical and organizational structures At the end of the training, the following module is the focus: "AI: Legal Foundations & Challenges" provides a fundamental understanding of the legal framework and ethical issues related to Artificial Intelligence. Participants will learn about the most important legal regulations, liability issues, and data protection aspects.

Upcoming dates

• 2026-07-26T22:00:00.000Z · 2026-10-24T22:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-07-26T22:00:00.000Z · 2027-01-23T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-07-26T22:00:00.000Z · 2027-01-23T23:00:00.000Z · München · Combined Learning
• 2026-07-26T22:00:00.000Z · 2026-10-24T22:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · München · Combined Learning