Eric Peña

Customizing models often requires lengthy iteration cycles. Now with Amazon SageMaker AI, you can accelerate the model customization process from months to days.

This chalk talk explores the powerful tools and capabilities in Amazon SageMaker Studio that streamline generative AI and machine learning (ML) development. Discover how to leverage SageMaker Studio and its tools to prepare data; discover, train, tune, evaluate, and deploy models; and automate AI/ML workflows.

Amazon SageMaker offers different integrated development environments (IDEs) that are purpose-built for machine learning (ML). In this chalk talk, learn how to select and use your preferred environment to perform end-to-end ML development steps, from preparing data to building, training, and deploying your ML models.

RStudio on Amazon SageMaker provides a familiar RStudio IDE with on-demand cloud compute resources. In this chalk talk, discover how to launch RStudio with a single click from Amazon SageMaker.