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Promote pipelines in a multi-environment setup using Amazon SageMaker Model Registry, HashiCorp Terraform, GitHub, and Jenkins CI/CD

AWS Machine Learning Blog

Policy 3 – Attach AWSLambda_FullAccess , which is an AWS managed policy that grants full access to Lambda, Lambda console features, and other related AWS services.

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Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

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There are also limited options for ad hoc script customization by users, such as data scientists or ML engineers, due to permissions of the user profile execution role. Depending on how many packages are installed and how large they are, the lifecycle script might even timeout.

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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning Blog

His core area of focus includes Machine Learning, DevOps, and Containers. Ram Vittal is a Principal ML Solutions Architect at AWS. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker.

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Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning Blog

His core area of focus includes Machine Learning, DevOps, and Containers. Ram Vittal is a Principal ML Solutions Architect at AWS. For the AWS IAM policy configured with the correct credentials, make sure that you have permissions to create, edit, and delete model cards within Amazon SageMaker.

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