Amazon SageMaker projects are AWS Service Catalog provisioned products that enable you to easily create end-to-end machine learning (ML) solutions. SageMaker projects give organizations the ability to use templates that bootstrap ML solutions for your users to speed up the start time for ML development.
You can now use SageMaker projects to manage custom dependencies through an image building continuous integration and continuous delivery (CI/CD) pipeline that’s available as a first-party template on Amazon SageMaker Studio. This new capability gives developers the flexibility to make updates to the images you use for training, processing, and inference by changing …
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