This whitepaper is for historical reference only. Some content might be outdated and some links might not be available.

# Further reading
<a name="further-reading"></a>
+  [Setting up secure, well-governed machine learning environments on AWS](https://aws.amazon.com/blogs/mt/setting-up-machine-learning-environments-aws/) (AWS blog) 
+  [Configuring Amazon SageMaker AI Studio for teams and groups with complete resource isolation](https://aws.amazon.com/blogs/machine-learning/configuring-amazon-sagemaker-studio-for-teams-and-groups-with-complete-resource-isolation/) (AWS blog) 
+  [Onboarding Amazon SageMaker AI Studio with AWS SSO and Okta Universal Directory](https://aws.amazon.com/blogs/machine-learning/onboarding-amazon-sagemaker-studio-with-aws-sso-and-okta-universal-directory/) (AWS blog) 
+  [How to Configure SAML 2.0 for AWS Account Federation](https://saml-doc.okta.com/SAML_Docs/How-to-Configure-SAML-2.0-for-Amazon-Web-Service) (Okta documentation) 
+  [Build a Secure Enterprise Machine Learning Platform on AWS](https://d1.awsstatic.com/whitepapers/build-secure-enterprise-ml-platform.pdf?did=wp_card&trk=wp_card) (AWS technical guide) 
+  [Customize Amazon SageMaker AI Studio using Lifecycle Configurations](https://aws.amazon.com/blogs/machine-learning/customize-amazon-sagemaker-studio-using-lifecycle-configurations/) (AWS blog) 
+  [Bringing your own custom container image to Amazon SageMaker AI Studio notebooks](https://aws.amazon.com/blogs/machine-learning/bringing-your-own-custom-container-image-to-amazon-sagemaker-studio-notebooks/) (AWS blog) 
+  [Build Custom SageMaker AI Project Templates – Best Practices](https://aws.amazon.com/blogs/machine-learning/build-custom-sagemaker-project-templates-best-practices/) (AWS blog) 
+  [Multi-account model deployment with Amazon SageMaker AI Pipelines](https://aws.amazon.com/blogs/machine-learning/multi-account-model-deployment-with-amazon-sagemaker-pipelines/) (AWS blog) 
+  [Part 1: How NatWest Group built a scalable, secure, and sustainable MLOps platform](https://aws.amazon.com/blogs/machine-learning/part-1-how-natwest-group-built-a-scalable-secure-and-sustainable-mlops-platform/) (AWS blog) 
+  [Secure Amazon SageMaker AI Studio presigned URLs Part 1: Foundational infrastructure](https://aws.amazon.com/blogs/machine-learning/secure-amazon-sagemaker-studio-presigned-urls-part-1-foundational-infrastructure/) (AWS blog)