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.
The AWS News Feed is currently looking for gold sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.
Related articles
2025
2025
2025
2025
The AWS News Feed is currently looking for silver sponsors. If you want to support the AWS community and reach a large audience of AWS professionals, consider sponsoring the AWS News Feed.