MLOps
AI applications are growing enormously. How do I build the bridge between experimental machine learning model development and model application in productive applications?
Dive with us into the exciting world of machine learning operations (MLOps) and learn how machine learning projects can be implemented efficiently and comprehensibly from conception to production.
Content
The workshop consists of a switch between presentation and a lot of hands-on content and covers the following content:
- Knowledge to set up an MLOps process
- Explanation of the phases and activities in the MLOps process
- Versioning of data and models
- Traceability due to automated ML pipelines
- Experimentation and comparison of model variants
- Monitoring of metrics to detect forecast quality
Requirements
Participants will need a laptop with direct access to the Internet.
Target audience
Our training is designed for everyone who wants to build an MLOps process or expand their DevOps process towards MLOps.
Conditions
Minimum TN: 6
Language of the workshop: German or English
trainer
Rebecca HillerSoftware & Data Engineer 
Iwan ImsandSoftware & ML Engineer
Machine learning operations
Discover the world of MLOps and learn to efficiently implement machine learning projects from conception to production.
Go to acend.chOur workshops are presented by acend, offering you practice-oriented cloud-native training, from engineer to engineer.