AWS SDK Version 3 for .NET
API Reference

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Starts a model training job. After training completes, Amazon SageMaker saves the resulting model artifacts to an Amazon S3 location that you specify.

If you choose to host your model using Amazon SageMaker hosting services, you can use the resulting model artifacts as part of the model. You can also use the artifacts in a deep learning service other than Amazon SageMaker, provided that you know how to use them for inferences.

In the request body, you provide the following:

For more information about Amazon SageMaker, see How It Works.


For .NET Core and PCL this operation is only available in asynchronous form. Please refer to CreateTrainingJobAsync.

Namespace: Amazon.SageMaker
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z


public virtual CreateTrainingJobResponse CreateTrainingJob(
         CreateTrainingJobRequest request
Type: Amazon.SageMaker.Model.CreateTrainingJobRequest

Container for the necessary parameters to execute the CreateTrainingJob service method.

Return Value
The response from the CreateTrainingJob service method, as returned by SageMaker.


ResourceInUseException Resource being accessed is in use.
ResourceLimitExceededException You have exceeded an Amazon SageMaker resource limit. For example, you might have too many training jobs created.

Version Information

.NET Framework:
Supported in: 4.5, 4.0, 3.5

Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms

See Also