Cloud Data Analyst with Additional Qualification AI-900: Microsoft Azure AI Fundamentals

Course overview

The training for Cloud Data Analyst is aimed at individuals who work with data analysis and big data in various professional and technical contexts. In many organizations, data analysis and big data are integral parts of daily practice, which is why the course repeatedly focuses on data analysis and big data. Introductory examples demonstrate how data analysis and big data are embedded in typical areas of responsibility and how requirements related to data analysis and big data can be systematically structured. As the content progresses, it explains how data analysis and big data are considered in the planning, implementation, and documentation of specific work steps. Participants will see how data analysis is used in various scenarios, while big data serves as a reference point for evaluations or configurations. Several practice sections explicitly address data analysis and big data to clarify how decisions regarding data analysis and big data impact the overall process. Another focus is on systematically addressing typical questions where data analysis and big data must be considered together. It becomes evident how data analysis serves as the basis for certain work steps and how big data is used complementarily to structure or verify results. Participants have the opportunity to apply data analysis and big data in different configurations and reflect on the role that data analysis and big data play in their respective areas of responsibility. In the next step, it will be brought together how data analysis and big data are integrated into long-term developments. It will be shown how insights gained from data analysis and information processed with big data can be used for further decisions. Finally, there will be a reflection on how data analysis and big data will play a role in future projects and how a conscious approach to data analysis 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 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: "AI-900: Microsoft Azure AI Fundamentals" provides fundamental knowledge about artificial intelligence and its application possibilities within the Microsoft Azure platform. Participants will learn central concepts such as machine learning, AI workloads, and relevant Azure services.

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