To realize the full potential of Machine Learning supported processes, automated pipelines can be used to ensure the model is up-to-date as well as the deployment.

We will show you how DevOps best practices can be used in the Machine Learning environment to automate model training, validation, and deployment using Infrastructure/Pipeline as Code.

You will learn how to best use Amazon SageMaker in hands-on sessions and can discuss your individual projects and challenges with our experts.

Date:
Zurich – 25.05.2023