Get started with Amazon SageMaker in minutes

Amazon SageMaker provides builders the ability to build, train, and deploy ML models for any use case with fully-managed infrastructure, tools, and workflows. In this session, find out how Amazon SageMaker takes away the heavy lifting, enabling high performance and low-cost ML. Explore the technical details of each of the modules of Amazon SageMaker, and the capabilities of the platform. Find out how to build generative AI applications with Amazon SageMaker to accelerate scalable, reliable, and secure foundation model (FM) development. The session features best practices to deploy open-source large language models (LLMs) using Amazon SageMaker and how to access LLMs via Amazon SageMaker Jumpstart. The session concludes with key takeaways with how you can analyze, evaluate, test, retrain, and deploy FMs, helping you to quickly get started.

Speaker: Pauline Kelly, Solutions Architect, AWS