<ul><li>Amazon SageMaker Projects empower data scientists to self-serve AWS tooling for organizing ML lifecycle and standardizing resources.</li><li>Enabling SageMaker Projects with Terraform Cloud removes CloudFormation dependency for AWS enterprises.</li><li>SageMaker Projects map to AWS Service Catalog products, now designated for Terraform Cloud via AWS-native infrastructure.</li><li>Prerequisites for deployment include AWS account access, SageMaker Studio domain, Terraform, and Terraform Cloud account.</li><li>Deployment involves cloning the repository, creating a Service Catalog portfolio, and setting up necessary variables.</li><li>Initiating and applying the Terraform Cloud workspace are crucial steps in deploying SageMaker Projects.</li><li>Customize the example with additional Terraform in the project template and manage cleanup using Terraform commands.</li><li>The process enables deploying and provisioning SageMaker Projects solely through Terraform in an enterprise setup.</li><li>The author, Max Copeland, is a Machine Learning Engineer at AWS specializing in ML-Ops, data science, and AI.</li></ul>

Deploy Amazon SageMaker Projects with Terraform Cloud

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