In this video, I show you how to train on your local machine using SageMaker APIs. I use Jupyter, and this would also work with your preferred IDE (PyCharm, etc.). This is a friendly and fast way to write and debug your code before running it at scale on managed instances. This technique also saves you money, as you’re not using notebook instances or SageMaker Studio.
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