Back to Basics: Using SageMaker Project Templates to Consistently Scale MLOps Enterprise Wide
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Опубликовано 28 сентября 2023, 22:53
In this episode, join Arnab as he walks through how an organization can build a Machine Learning Operations (MLOps) platform using Amazon SageMaker to accelerate iterative model development and deployment. With the use of this pattern, organizations can quickly empower their teams with a robust platform that fosters speed to delivery and doesn’t compromise your governance and security posture.
Additional Resources:
Amazon SageMaker overview: docs.aws.amazon.com/sagemaker/...
Amazon SageMaker Pipelines: docs.aws.amazon.com/sagemaker/...
SageMaker Projects: docs.aws.amazon.com/sagemaker/...
Lab: catalog.us-east-1.prod.worksho...
Check out more resources for architecting in the #AWS cloud:
amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BacktoBasics #AIML #MachineLearning #MachineLearningModels #SageMaker #MLOps
Additional Resources:
Amazon SageMaker overview: docs.aws.amazon.com/sagemaker/...
Amazon SageMaker Pipelines: docs.aws.amazon.com/sagemaker/...
SageMaker Projects: docs.aws.amazon.com/sagemaker/...
Lab: catalog.us-east-1.prod.worksho...
Check out more resources for architecting in the #AWS cloud:
amzn.to/3qXIsWN
#AWS #AmazonWebServices #CloudComputing #BacktoBasics #AIML #MachineLearning #MachineLearningModels #SageMaker #MLOps
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