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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. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering.

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Use Amazon SageMaker Model Card sharing to improve model governance

AWS Machine Learning Blog

Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. For more information, refer to Configure the AWS CLI.

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Use Amazon SageMaker Model Cards sharing to improve model governance

AWS Machine Learning Blog

Ram Vittal is a Principal ML Solutions Architect at AWS. He is passionate about building secure and scalable AI/ML and big data solutions to help enterprise customers with their cloud adoption and optimization journey to improve their business outcomes. For more information, refer to Configure the AWS CLI.

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