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@@ -767,7 +767,7 @@ If everything is set up correctly, PyCharm will stop at your breakpoint, highlig
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![SSH_Helper-Remote-IDE.png](https://user-images.githubusercontent.com/87804596/205895890-e5e87f8b-1ca6-4ce6-bac1-5cb6e6f61dde.png)
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For your local IDE integration with SageMaker Studio, follow the same steps as for configuring the IDE for [Remote code execution](#remote-interpreter), but instead of submitting the training / processing / inference code to SageMaker with Python SDK, execute the Jupyter notebook, as described in the next steps.
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For your local IDE integration with SageMaker Studio, follow the same steps as for configuring the IDE for [Remote code execution](#remote-interpreter), but instead of submitting the training / processing / inference code to SageMaker with Python SDK in the step "2. Start the remote resource", execute the Jupyter notebook, as described below.
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> **Important:** Make sure you read the "Getting started" section and didn't skip the steps from [Setting up your AWS account with IAM and SSM configuration](IAM_SSM_Setup.md).
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