Cloud Data Engineer with Additional Qualification AWS DevOps Associate

Course overview

The training for Cloud Data Engineer is aimed at individuals who work with Python and Big Data in various professional and technical contexts. In many organizations, Python and Big Data are integral parts of daily practice, which is why the course repeatedly focuses on Python and Big Data. Introductory examples demonstrate how Python and Big Data are embedded in typical areas of responsibility and how requirements related to Python and Big Data can be systematically structured. As the content progresses, it explains how Python and Big Data are considered in the planning, implementation, and documentation of specific work steps. Participants will see how Python is used in various scenarios, while Big Data serves as a reference point for evaluations or configurations. Several practical sections explicitly address Python and Big Data to clarify how decisions regarding Python and Big Data impact the overall process. Another focus is on systematically addressing typical questions where Python and Big Data must be considered together. It becomes evident how Python serves as a foundation for certain work steps and how Big Data is used complementarily to structure or verify results. Participants will have the opportunity to apply Python and Big Data 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 Python and Big Data are integrated into long-term developments. It will be shown how insights gained with Python and information processed with Big Data can be used for further decisions. Finally, it will be reflected upon how Python and Big Data will play a role in future projects and how a conscious approach to Python and Big Data contributes to making processes comprehensible and transparent. Agenda: 1. Classification of roles and areas of responsibility 2. Overview of typical work processes 3. Structuring 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 will focus on practical knowledge for the development and deployment of applications on the AWS platform. Participants will 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

• 2026-11-29T23:00:00.000Z · 2027-03-01T23:00:00.000Z · München · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-06-01T22:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-03-01T23:00:00.000Z · Eschborn, Taunus · Combined Learning
• 2026-11-29T23:00:00.000Z · 2027-06-01T22:00:00.000Z · München · Combined Learning

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