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Hi Shantanu Oak,
The basic idea to deploy model to SageMaker is: 1) Containerize your model. 2) Publish your model to ECR repository and grant SageMaker necessary permissions. 3) Call CreateModel, CreateEndpointConfig and CreateEndpoint to deploy your model to SageMaker.
Per your notebook of training the model, you didn't use any SageMaker sdk to containerize your model automatically, so it is more complicated to start from scratch. You may consider use any of the following sample notebooks with keras to containerize your model first: https://github.com/awslabs/amazon-sagemaker-examples
answered 5 years ago
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