Session 1: CI/CD for Serverless Applications , 12pm-1pm
Continuous Integration and Continuous Delivery help developers rapidly and reliably release updates for their applications in a standardized and safe manner. The faster you can release new features and fix bugs, the quicker you can innovate and respond to customer needs. Serverless computing has changed the game for application development, including how to properly perform CI/CD for your application. AWS provides developer tools that help you automate the end-to-end lifecycle of your serverless application. In this session, we’ll discuss how to build multi-stage pipelines that let you build and test your application in an automated way using AWS CodePipeline and AWS CodeBuild. We’ll also cover the built-in capabilities of AWS Lambda and Amazon API Gateway that allow you to create multiple versions, stages, and environments for your serverless applications. Level 300
Session 2: Machine Learning with MXNet on AWS, 1pm-2pm
During this talk, we’ll do a hands-on dive into the world of Machine Learning on AWS. We’ll start by introducing Machine Learning, then we’ll follow it by talking about the MXNet Machine Learning framework. Finally, we’ll do a hands-on demonstration of MXNet (with Jupyter Notebook) to build a Machine Learning algorithms that can make accurate predictions. We’ll also talk about the different AWS EC2 GPU instances, and how they can accelerate Machine Learning applications on AWS.
Please arrive at least 15 minutes early to park, register (ID required) and grab lunch.
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