AI Administrator with Additional Qualification in Python, Basics

Course overview

The training for AI Administrator is aimed at individuals who work with AI development and AI engineering in various professional and technical contexts. In many organizations, AI development and AI engineering are integral parts of daily practice, which is why the course repeatedly addresses these topics. Introductory examples demonstrate how AI development and AI engineering are embedded in typical areas of responsibility and how requirements related to AI development and AI engineering can be systematically structured. As the content progresses, it explains how AI development and AI engineering are considered in the planning, implementation, and documentation of specific work steps. Participants will see how AI development is applied in various scenarios, while AI engineering serves as a reference point for evaluations or configurations. Several practical sections explicitly address AI development and AI engineering to clarify how decisions regarding these areas impact the overall process. Another focus is on systematically addressing typical questions where AI development and AI engineering must be considered together. It becomes evident how AI development serves as a foundation for certain work steps and how AI engineering is used complementarily to structure or verify results. Participants will have the opportunity to apply AI development and AI engineering in different contexts and reflect on the roles they play in their respective areas of responsibility. In the next step, it will be brought together how AI development and AI engineering are integrated into long-term developments. It will be shown how insights gained from AI development and information processed with AI engineering can be used for further decision-making. Finally, there will be a reflection on how AI development and AI engineering will play a role in future projects and how a conscious approach to these areas contributes to making processes understandable and transparent.

Upcoming dates

• 2026-10-18T22:00:00.000Z · 2027-04-20T22:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-18T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-04-20T22:00:00.000Z · München · Combined Learning
• 2026-10-18T22:00:00.000Z · 2027-01-18T23:00:00.000Z · München · Combined Learning