Integrating Amazon SageMaker into your Enterprise


ON-DEMAND


Integrating Amazon SageMaker into your Enterprise



Broadcast Date:
June 19, 2018

Level 300 | Service How To
Amazon SageMaker is a fully managed platform for data scientists and developers to build, train, and deploy machine learning models in production applications. In this tech talk, you will learn how to integrate Amazon SageMaker with other AWS services in order to meet enterprise requirements. Using Amazon S3, Amazon Glue, Amazon KMS, Amazon SageMaker, Amazon CodeStar, Amazon ECR, IAM; we will walk through the machine learning lifecycle in an integrated AWS environment and discuss best practices. Attendees must have some familiarity with AWS products as well as a good understanding of machine learning theory.

Learning Objectives:
• Get an introduction to Amazon SageMaker
• Learn how to integrate Amazon SageMaker and other AWS Services within an Enterprise environment
• View a walkthrough of the machine learning lifecycle to cover best practices in the ML process

Suited For: Machine Learning Developers, Data Scientists, ML Practitioners

Speaker(s): Dan Mbanga, Business Development Manager, Machine Learning, Deep Learning, AWS


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