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This amazon web services SageMaker tutorial shows how powerful functions as a service are and how easy it is to get up and running with them.

# Learn AWS SageMaker with a demo.
# Become aquainted with the popular algorithms provided with Amazon SageMaker.
# Learn how to use algorithms for training in Amazon SageMaker
# Learn how the algorithms in Amazon SageMaker were architected to be faster and more efficient by design”
# AWS SageMaker Deep Dive.
# Checking SageMaker logs.
# Understanding AWS SageMaker pricing.

Amazon SageMaker is a fully managed service that enables data scientists and developers to quickly and easily build, train, and deploy ML models at scale with zero setup. It significantly decreases your training time and the overall cost of building production ML systems. In this session, we describe the features of Amazon SageMaker, including the one-click training environment and highly optimized ML algorithms with built-in model tuning, and we show you how to deploy ML models at scale without engineering effort.


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