Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. In this Tech Briefing, we will show you how to train and build a ML model on SageMaker, then how to deploy the inference end points on tools like AWS Greengrass or Serverless applications.
Presented By: Randy Ridgley, Amazon Web Services
Event Sponsor
University IT Technology Training
Contact Email
techtraining@stanford.edu
Contact Phone
650-723-4391
