Amazon SageMaker Studio Classic
Important
As of November 30, 2023, the previous Amazon SageMaker Studio experience is now named Amazon SageMaker Studio Classic. The following section is specific to using the Studio Classic application. For information about using the updated Studio experience, see Amazon SageMaker Studio.
Amazon SageMaker Studio Classic is a web-based integrated development environment (IDE) for machine learning (ML). Studio Classic lets you build, train, debug, deploy, and monitor your ML models. Studio Classic includes all of the tools you need to take your models from data preparation to experimentation to production with increased productivity. In a single visual interface, you can do the following tasks:
Write and run code in Jupyter notebooks
Prepare data for machine learning
Build and train ML models
Deploy the models and monitor the performance of their predictions
Track and debug ML experiments
Collaborate with other users in real time
For information on the onboarding steps for Studio Classic, see Amazon SageMaker domain overview.
For information about collaborating with other users in real time, see Collaboration with shared spaces.
For the AWS Regions supported by Studio Classic, see Supported Regions and Quotas.
Topics
- Studio Classic Features
- Amazon SageMaker Studio Classic UI Overview
- Launch Amazon SageMaker Studio Classic
- JupyterLab Versioning
- Use the Amazon SageMaker Studio Classic Launcher
- Use Amazon SageMaker Studio Classic Notebooks
- Customize Amazon SageMaker Studio Classic
- Perform Common Tasks in Amazon SageMaker Studio Classic
- Amazon SageMaker Studio Classic Pricing
- Troubleshooting Amazon SageMaker Studio Classic
Studio Classic Features
Studio Classic includes the following features: