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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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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. 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.

ML 115
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Four approaches to manage Python packages in Amazon SageMaker Studio notebooks

Flipboard

Each user role such as a data scientist; an ML, MLOps, or DevOps engineer; and an administrator can choose the most suitable approach based on their needs, place in the development cycle, and enterprise guardrails. He develops and codes cloud native solutions with a focus on big data, analytics, and data engineering.

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Top Predictive Analytics Tools/Platforms (2023)

Marktechpost

The current product, which debuted in 2015, was set upon two earlier products that were first introduced in 2012. The application supports both business and advanced users through several features that facilitate data aggregation, predictive modeling, and model analysis across several user interfaces.

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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. 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.

ML 52