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Cloud Providers, AWS

If you're enrolled in the complete program, you can use your AWS Promotional Credits to get started with AWS Machine Learning services such as Amazon SageMaker. Amazon SageMaker is a fully-managed machine learning platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. It removes all the barriers that typically slow down developers who want to use machine learning, so it's a perfect starting point on your machine learning journey.

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The cloud can connect data storage, analysis, and trained deep learning models.

Deployment via the Cloud

Using a cloud provider like AWS to spin up a GPU instance is really useful for training your own neural networks on the latest GPU hardware. There is one other benefit to using a cloud provider and that's deployment . Often, you'll want to deploy your pre-trained models so that they can respond to user data on a website! For example, this demo that uses a trained RNN to generate new sketches given user input.

You'll learn all about deployment later in this program, so we'll revisit the necessary instance-creation information, when we get there. The goal of this short, text lesson is really about getting you acquainted with GPU instances (should you want to use them), and introducing you to cloud providers like AWS.