Machine Learning Engineer

Course overview

This intensive training includes the role of a Machine Learning Engineer: responsibility for models in production, building reliable data flows, and collaborating with departments and IT. Your competencies As a Machine Learning Engineer, translate business requirements into technical specifications Set up training processes reproducibly and manage model versions Transfer models to production and continuously monitor them Implement legal requirements for AI use into technical measures Tasks as a Machine Learning Engineer Responsibility for models from requirements to operation Interface between business departments, software development, and IT operations Quality standards within the team Data Flows and Model Operations Data pipelines for training and ongoing use Versioning of data, code, and models Monitoring model quality and model drift AI Fundamentals and Law Overview of learning methods and large language models Legally compliant use of AI and data protection Traceability of model decisions Application in Professional Life Roll out new model versions with IT operations Analyze failures and quality issues of a model As a Machine Learning Engineer, coordinate priorities with business departments Professional Fields Machine Learning Engineer in technology and industrial companies Data teams with productive AI applications The comprehensive methodological path to deployment is covered by the program "Machine Learning and Data Science - From Basics to Model Deployment", while the programming of models is addressed in the program "AI Developer - Machine Learning, Deep Learning, and Python".

Upcoming dates

• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Aachen · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zwickau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Zittau · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Würzburg · Combined Learning
• 2026-10-29T23:00:00.000Z · 2027-03-16T23:00:00.000Z · Wuppertal · Combined Learning