Live Coding with AWS | Training and Deploying AI with Amazon SageMaker – #AWS

Check out the upcoming schedule, previous recordings, and links to the resources discussed at –

Build a model to predict a time series data set using Machine Learning with Amazon SageMaker during an interactive live coding episode from with Randall Hunt, Sr. Technical Evangelist. Amazon SageMaker is a fully-managed service 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.

For more information on Amazon SageMaker, visit

via Amazon Web Services

About The Author
- Launched in 2006, Amazon Web Services offers a robust, fully featured technology infrastructure platform in the cloud comprised of a broad set of compute, storage, database, analytics, application, and deployment services from data center locations in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, and Singapore. More than a million customers, including fast-growing startups, large enterprises, and government agencies across 190 countries, rely on AWS services to innovate quickly, lower IT costs and scale applications globally. To learn more about AWS, visit

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