Amazon SageMaker Studio offers a wide choice of purpose-built tools to perform all ML development steps, from preparing data to building, training, deploying, and managing your ML models. You can quickly upload data and build models using your preferred IDE. Streamline ML team collaboration, code efficiently using the AI-powered coding companion, tune and debug models, deploy and manage models in production, and automate workflows—all within a single, unified web-based interface.
Amazon SageMaker Studio offers a broad set of fully managed integrated development environments (IDEs) for machine learning (ML) development, including JupyterLab, Code Editor based on Code-OSS (Visual Studio Code – Open Source), and RStudio. Launch your preferred IDE quickly and scale the underlying compute up and down on the fly.