Creating a SageMaker project
A SageMaker project enables you to automate the model building and deployment pipelines with MLOps and CI/CD from SageMaker-provided templates and your own custom templates. With a SageMaker-provided template, all the initial setup and resource provisioning is handled by SageMaker so you can quickly adopt it for your use case.
In this chapter, we will run an ML example with MLOps and CI/CD in SageMaker Studio. As we focus on MLOps and CI/CD in this chapter, we use a simple regression problem from the abalone dataset (https://archive.ics.uci.edu/ml/datasets/abalone) to predict the age of abalone from physical measurements. I will show you how you can create a project from SageMaker projects, and how each part of the MLOps system works. The MLOps system created from SageMaker projects enables automation of data validation, model building, model evaluation, deployment, and monitoring with a simple trigger from a code commit. This means that whenever we...
