AWS sagemaker-unified-studio documentation change
Summary
Updated navigation links and section titles to reflect Identity Center and IAM-based domain terminology
Security assessment
Changes focus on organizational restructuring and terminology updates (Identity Center/IAM-based domains) without explicit security context. No vulnerabilities, mitigations, or security features are mentioned.
Diff
diff --git a/sagemaker-unified-studio/latest/userguide/sagemaker.md b/sagemaker-unified-studio/latest/userguide/sagemaker.md index b3f388d1e..cf1794fcd 100644 --- a//sagemaker-unified-studio/latest/userguide/sagemaker.md +++ b//sagemaker-unified-studio/latest/userguide/sagemaker.md @@ -90 +90 @@ ECR repositories without the `AmazonDataZoneProject` cannot be used. You must cr - * [Discover Jumpstart models](./sagemaker-discover-models.html) + * [Machine learning in Identity Center-based domains](./sagemaker-identity-center-based-domains.html) @@ -92,15 +92 @@ ECR repositories without the `AmazonDataZoneProject` cannot be used. You must cr - * [Build models in JupyterLab](./sagemaker-build-models.html) - - * [Train models](./sagemaker-train-models.html) - - * [Use inference endpoints to deploy models](./sagemaker-deploy-models.html) - - * [Pipelines](./sagemaker-pipelines.html) - - * [Model registry](./sagemaker-register-models.xml.html) - - * [Track experiments using MLflow](./sagemaker-experiments.xml.html) - - * [HyperPod clusters](./sagemaker-hyperpods.html) - - * [Partner AI apps](./sagemaker-partner-apps.html) + * [Machine Learning Workflows in IAM-based domains](./sagemaker-iam-based-domains.html) @@ -117 +103 @@ To use the Amazon Web Services Documentation, Javascript must be enabled. Please -Best practices for Visual ETL in Amazon SageMaker Unified Studio +Best practices for Visual ETL in Identity Center-based domains @@ -119 +105 @@ Best practices for Visual ETL in Amazon SageMaker Unified Studio -Discover Jumpstart models +Machine learning in Identity Center-based domains