AI Engineer with Additional Qualification AWS DevOp Associate

Course overview

The training for AI Engineer provides a solid understanding of how automation and Natural Language Processing (NLP) are used in modern AI projects. Participants learn about the role of automation in analysis and development processes and how NLP is utilized to develop, validate, or support specific functions of models. Practical examples illustrate how automation and NLP are used together to address technical and professional questions. Another focus is on how automation and NLP can be evaluated and applied in different project situations. Exercises demonstrate how automation contributes to structuring, while NLP brings additional methodological or functional aspects. Participants also reflect on how automation and NLP are used in teams working on data-driven or AI-based solutions. Furthermore, the organizational requirements that arise when integrating automation and NLP into existing workflows are considered. Examples clarify how automation helps structure processes and how NLP can be used complementarily to better document or analyze results. The handling of changes brought about by automation and NLP is also addressed. In the next step, it is shown how automation and NLP can contribute to the long-term development of projects. Participants work on how automation and NLP can be used to build sustainable structures, support innovation processes, or identify new fields of application. Agenda: 1. Positioning 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 focuses on providing practical knowledge for the development and deployment of applications on the AWS platform. Participants learn to design cloud-native applications, perform automated deployments, and efficiently implement development processes using AWS services. The goal is to prepare for the certification exam for AWS Certified Developer - Associate.

Upcoming dates

• 2026-09-06T22:00:00.000Z · 2027-03-09T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-09-06T22:00:00.000Z · 2027-03-09T23:00:00.000Z · München · Combined Learning
• 2026-09-06T22:00:00.000Z · 2026-12-07T23:00:00.000Z · München · Combined Learning