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Tag: AWS – How To Deploy ML Model Using Sagemaker Endpoint?

  • AWS – How To Deploy ML Model Using Sagemaker Endpoint?

    AWS – How To Deploy ML Model Using Sagemaker Endpoint?

    AWS – How To Deploy ML Model Using Sagemaker Endpoint Using Prebuild Container? Table Of Contents: Setup AWS & Install Dependencies. Train & Save The Model. Create A Docker Container. Push The Docker Image To Amazon ECR. Deploy The Model To Sagemaker Endpoint. Make Prediction Using Endpoint Cleanup The Resources. (1) Setup AWS & Install Dependencies. AWS Dependencies: Ensure You Have The The Following Dependencies Installed. An AWS account with SageMaker and ECR permissions. Docker installed (docker – version). AWS CLI configured (aws configure). Boto3 and SageMaker SDK installed. Python Libraries: Python libraries to build the model. pip install boto3

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