Data Science Specialized in AI Operations Engineering

With the "Data Science Specialized in AI Operations Engineering" certificate, we certify basic knowledge of methods and tools for the operationalization of machine learning applications. A "Data Science Specialized in AI Operations Engineering" is able to identify the challenges and solutions for the productive use of ML applications in a company, to design suitable solutions and knows examples of concrete implementation.

The exam is aimed at project managers, data scientists, software developers and architects who want to take a closer look at the challenges of operationalizing ML applications.

• Fundamentals of the MLOps cycle, architecture and terminology
• The role of MLOps in data science projects
• Organizational aspects of MLOps
• MLOps aspects in exploration, experiment tracking and model storage
• Special features of ML in connection with software engineering concepts
• CI / CD in connection with ML components
• Orchestration of ML development processes with pipelines
• Special features of deploying and operating ML applications
• In-depth study of scaling the components of the MLOps cycle and use of cloud environments
• Introduction to the topic of Edge / Embedded AI
• Special features of Edge / Embedded AI in connection with the MLOps cycle