Machine Learning Engineer

Course overview

The requirements for the productive operation of models have significantly changed with the number of methods employed. In the machine learning program, the role is associated with a platform certification. Model building and operational responsibility are combined. !Course Content !1. Job Profile and Certification Scope *Activities of Machine Learning Engineers in the model lifecycle *Knowledge areas of the associated platform certification *Distinction from data analysis and data engineering !2. Model Development and Feature Engineering *Preparation of features for training *Selection and training of supervised and unsupervised methods *Evaluation of model quality !3. Deployment and Operation of Models *Deployment of trained models as a service *Versioning of model states *Resource requirements in inference operation !4. Monitoring and Retraining in Machine Learning *Monitoring of response times and model quality *Detection of shifts in input data *Triggering and approval of retraining !Professional Relevance *Connection of model building and operational responsibility *Verifiable qualification through platform certification *Foundation for the operation of productive models

Upcoming dates

• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2027-04-22T22:00:00.000Z · Virtuelles Klassenzimmer
• 2026-10-25T23:00:00.000Z · 2027-01-22T23:00:00.000Z · Berlin · Combined Learning
• 2026-10-25T23:00:00.000Z · 2027-04-22T22:00:00.000Z · Berlin · Combined Learning