Cloud Machine Learning Engineer with Additional Qualification in Java, Object Orientation

Course overview

The training for Cloud Machine Learning Engineer is aimed at individuals who work with automation and Natural Language Processing (NLP) in various professional and technical contexts. In many organizations, automation and NLP are integral parts of daily practice, which is why the course repeatedly addresses automation and NLP. Introductory examples demonstrate how automation and NLP are embedded in typical areas of responsibility and how requirements related to automation and NLP can be systematically structured. As the content progresses, it explains how automation and NLP are considered in the planning, implementation, and documentation of specific work steps. Participants will see how automation is used in various scenarios, while NLP serves as a reference point for evaluations or configurations. Several practical sections explicitly address automation and NLP to clarify how decisions regarding automation and NLP impact the overall process. Another focus is on systematically addressing typical questions where automation and NLP must be considered together. It becomes evident how automation serves as a foundation for certain work steps and how NLP is used complementarily to structure or verify results. Participants will have the opportunity to apply automation and NLP in different configurations and reflect on the role that automation and NLP play in their respective areas of responsibility. In the next step, it will be brought together how automation and NLP are integrated into long-term developments. It will be shown how insights gained from automation and information processed with NLP can be used for further decisions. Finally, there will be a reflection on how automation and NLP will play a role in future projects and how a conscious approach to automation and NLP contributes to making processes comprehensible and transparent. Agenda: 1. Classification of roles and areas of responsibility 2. Overview of typical work processes 3. Structuring of professional and technical requirements 4. Approaches to analysis, planning, and implementation 5. Use of supporting tools and platforms 6. Documentation and traceability of workflows 7. Collaboration with adjacent roles and areas 8. Long-term development of structures and processes At the end of the training, the following module is the focus: "Java, Object Orientation" conveys the concepts of object-oriented programming (OOP) in Java. Participants learn how to efficiently use classes, objects, inheritance, polymorphism, and interfaces to develop structured and reusable software.

Upcoming dates

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