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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the help of the AWS CDK, we can version control our provisioned resources and have a highly transportable environment that complies with enterprise-level best practices. Make sure you have the credentials and permissions to deploy the AWS CDK stack into your account. Navigate to the AWS Cloud9 console.

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

We demonstrate how to use CI/CD the low-code/no-code tools code to integrate it into your MLOps environment, while adhering with MLOps best practices. To learn more about SageMaker Projects and creating custom project templates aligned with best practices, refer to Build Custom SageMaker Project Templates – Best Practices.