Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.

 

This fully-remote, day-long technical workshop is designed to provide data scientists and ML developers with hands-on training for designing production machine learning and deep learning systems using Amazon SageMaker. In this workshop, you will learn the fundamentals of Amazon SageMaker and how you can use SageMaker to prepare, build, train, and deploy high-quality ML models.

In this meetup, we will discuss DevOps and Security and how they have become an integral part of operating in the cloud. DevOps is a response against the traditional separation of the those who coded the application (developers) and those who operated it (operations). Teams that developed the application should also play a key role in maintaining it. In this way, each team can deploy features fast and minimize production downtime. As DevOps gained popularity in the tech world, increasing worries about security incidents have also gained traction. Companies are now investing capital in securing applications yet still retaining that deployment agility that DevOps provides.

MoT-PH in collaboration with AWS User Group Philippines Quality Engineering: Automating Different Kinds of Tests in Python In this session, I will talk about how to automate different kinds of tests (Unit, Integration, UI, & Performance) in python using various tools and frameworks. We will also talk a bit about Behavior Driven Development (BDD) and how to build tests around it.