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# 延伸阅读
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+  在 AWS（AWS 博客）[上设置安全、管理良好的机器学习环境](https://aws.amazon.com/blogs/mt/setting-up-machine-learning-environments-aws/) 
+  [为团队和小组配置 SageMaker Amazon AI Studio，实现完全的资源隔离](https://aws.amazon.com/blogs/machine-learning/configuring-amazon-sagemaker-studio-for-teams-and-groups-with-complete-resource-isolation/)（AWS 博客） 
+  [使用 AWS SSO Okta 通用名录入亚马逊 SageMaker AI Studio（博客](https://aws.amazon.com/blogs/machine-learning/onboarding-amazon-sagemaker-studio-with-aws-sso-and-okta-universal-directory/)）AWS 
+  [如何为 AWS 账户联合配置 SAML 2.0](https://saml-doc.okta.com/SAML_Docs/How-to-Configure-SAML-2.0-for-Amazon-Web-Service)（Okta 文档） 
+  [在 AWS上构建安全的企业机器学习平台](https://d1.awsstatic.com/whitepapers/build-secure-enterprise-ml-platform.pdf?did=wp_card&trk=wp_card)（AWS 技术指南） 
+  [使用生命周期配置自定义 SageMaker Amazon AI Studio](https://aws.amazon.com/blogs/machine-learning/customize-amazon-sagemaker-studio-using-lifecycle-configurations/)（AWS 博客） 
+  [将自己的自定义容器镜像带到 Amazon A SageMaker I Studio 笔记本](https://aws.amazon.com/blogs/machine-learning/bringing-your-own-custom-container-image-to-amazon-sagemaker-studio-notebooks/)上（AWS 博客） 
+  [构建自定义 SageMaker AI 项目模板-最佳实践](https://aws.amazon.com/blogs/machine-learning/build-custom-sagemaker-project-templates-best-practices/)（AWS 博客） 
+  [使用 Amazon A SageMaker I Pipelines 部署多账户模型](https://aws.amazon.com/blogs/machine-learning/multi-account-model-deployment-with-amazon-sagemaker-pipelines/)（AWS 博客） 
+  [第 1 部分： NatWest 集团如何构建可扩展、安全和可持续的MLOps平台](https://aws.amazon.com/blogs/machine-learning/part-1-how-natwest-group-built-a-scalable-secure-and-sustainable-mlops-platform/)（AWS 博客） 
+  [Secure Amazon SageMaker AI Studio 预签名第 1 URLs 部分：基础基础设施（博](https://aws.amazon.com/blogs/machine-learning/secure-amazon-sagemaker-studio-presigned-urls-part-1-foundational-infrastructure/)客）AWS