This course will teach you the foundational skills in server troubleshooting and allow you to make informed decisions on the correct methodology, configuration, and maintenance of the servers in your enterprise.

React is one of the most efficient tools for building server-rendered applications. This course will teach you everything necessary for server rendering applications, including scaffolding the application, compiling React, and rehydration.

Learn server-side development using Swift, focusing on frameworks, APIs, and database integration.

AWS Glue and Amazon Athena have transformed the way big data workflows are built in the day of AI and ML. Learn how to build for now and the future, how to future-proof your data, and know the significance of what you’ll learn can't be overstated.

Learn the true benefits and challenges of a serverless architecture without all of the hype. This course will teach you the real-world definition of the popular serverless approach and how this approach can be implemented within an organization.

This course will teach you to leverage Amazon Cognito to configure both of these for a serverless application on AWS.

This course will teach you how to evaluate AWS compute services and expose them so they can be consumed within a serverless web application.

Learn serverless computing with Cloud Functions. Build and deploy scalable, event-driven applications without managing infrastructure.

Serverless gets framed as the "next big thing" but it's more than hype. Rather, it's the first cloud-native computing paradigm and may change how you build software. This course explains the technology and patterns you need to know to be successful.

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK.

This course is part 1 of a 3-course series on Serverless Data Processing with Dataflow. In this first course, we start with a refresher of what Apache Beam is and its relationship with Dataflow.

In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing pipeline performance.