Debugging training jobs using Amazon SageMaker Debugger
Note
After careful consideration, we have made the decision to close new customer access to Amazon Sagemaker Debugger, effective 7/30/26. Existing customers can continue to use the service as normal. AWS continues to invest in security and availability improvements for Debugger, but we do not plan to introduce new features. For more information, see Debugger availability change.
To prepare your training script and run training jobs with SageMaker Debugger to debug model
training progress, you follow the typical two-step process: modify your training script
using the sagemaker-debugger Python SDK, and construct a SageMaker AI ModelTrainer using
the SageMaker Python SDK. Go through the following topics to learn how to use SageMaker Debugger's
debugging functionality.
Topics
