In this video, I show you how to easily deploy a model to a SageMaker endpoint, and to send it data for prediction using the boto3 SDK. I also enable data capture with SageMaker Model Monitor.
Code:
https://gitlab.com/juliensimon/amazon-studio-demos/blob/master/dataset.ipynb
Blog posts:
* https://aws.amazon.com/blogs/aws/amazon-sagemaker-studio-the-first-fully-integrated-development-environment-for-machine-learning/
* https://aws.amazon.com/blogs/aws/amazon-sagemaker-model-monitor-fully-managed-automatic-monitoring-for-your-machine-learning-models/
Follow me on:
* Medium: https://medium.com/@julsimon
* Twitter: https://twitter.com/julsimon
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Amazon SageMaker Studio - Deploying a model to an endpoint | NatokHD