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Supercharge your AI workflows by connecting to SageMaker Studio from Visual Studio Code

Machine Learning Blog



This article introduces a new feature that allows AI developers and machine learning engineers to connect their local Visual Studio Code (VS Code) directly to Amazon SageMaker Studio, providing a seamless development experience.

  • Developers can use their customized VS Code setup while accessing SageMaker Studio's compute resources
  • Two connection methods are supported: direct launch from SageMaker Studio and AWS Toolkit connection
  • Requires specific prerequisites like SageMaker Studio domain access and updated IAM permissions
  • Enables running notebooks, accessing remote kernels, and maintaining familiar development workflows
  • Provides enterprise-grade security with automatic credential management

The feature bridges local development preferences with cloud-based machine learning resources, improving productivity and providing flexible AI/ML development capabilities.



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