In this presentation, learn how an end-to-end smart application can be built in the AWS cloud. We will demonstrate how to use Amazon Machine Learning (Amazon ML) to create machine learning models, deploy them to production, and obtain predictions in real-time. We will then demonstrate how to build a complete smart application using Amazon ML, Amazon Kinesis, and AWS Lambda. We will walk you through the process flow and architecture, demonstrate outcomes, and then dive into the code for implementation. In this session, you will learn how to use Amazon ML as well as how to integrate Amazon ML into your applications to take advantage of predictive analysis in the cloud.

Learning Objectives:

  • Learn about AWS services needed to build smart applications on AWS, e.g. Amazon Kinesis, AWS Lambda, Amazon Mechanical Turk, Amazon SNS
  • Learn how to deploy such implementation
  • Get the code on GitHub for you to use immediately

Target Audience:

  • Developers, Engineers, Solutions Architects


trailer ss intro to aml
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