ON-DEMAND
Build, Train and Deploy Machine Learning Models on AWS with Amazon SageMaker
Broadcast Date: September 20, 2018
Level 300 | Service Deep Dive
Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning (ML) models at any scale. Amazon SageMaker removes all the barriers that typically slow down developers who want to use machine learning. In this tech talk, we will introduce you to the concepts of Amazon SageMaker including a one-click training environment, highly-optimized machine learning algorithms with built-in model tuning, and deployment of ML models. With zero setup required, Amazon SageMaker significantly decreases your training time and the overall cost of getting ML models from concept to production.
Learning Objectives:
• Learn the fundamentals of building, training & deploying machine learning models
• Learn how Amazon SageMaker provides managed distributed training for machine learning models with a modular architecture
• Learn to quickly and easily build, train & deploy machine learning models using Amazon SageMaker
Suited For: Developers, Data Scientists, Professionals with a good working knowledge of Machine Learning, Managers/Executives interested in deploying machine learning models from concept to production
Speaker(s): David Arpin, Sr. Product Manager, AWS
Learn More
To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/sagemaker
https://aws.amazon.com/sagemaker
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