More and more, the world is being driven by voice technologies, and Amazon Alexa is leading the way. This course will teach you how to build, debug and monetize Alexa skills.

Correctly writing asynchronous code can tremendously improve the scalability of your web API. In this course, you’ll learn how and why to write async code when creating an ASP.NET Core web API.

This course will teach you what you need to know to develop and extend a Salesforce Community with code.

Using docker for applications is really helpful in ensuring a fuss-free and smooth release to production. This course will teach you how to dockerize your Go applications as efficiently as possible, making app maintenance and debugging super easy.

In this module, you learn how to use the Windows Subsystem for Linux (WSL) with Visual Studio Code (VS Code). We explore the installation process and the basics of using WSL. Additionally, we install and utilize the Visual Studio Code WSL extension. Finally, we demonstrate how to debug and run Python code in VS Code within our WSL environment.

This course will teach you how to develop, configure, and debug Java applications with Docker.

Developing Chef cookbooks requires an understanding of the many tools which are available to you via Chef Workstation. This course leverages hands-on demos to explore the options available for developing cookbook solutions for Linux.

Developing Chef cookbooks requires an understanding of the many tools which are available to you via Chef Workstation. This course leverages hands-on demos to explore the options available for developing cookbook solutions for Windows.

Understand how to develop and deploy microservices using Spring Boot, focusing on RESTful services and cloud integration.

Application containers are convenient for distributing modern applications. This course will teach you how to build and deploy containers for your Node.js applications.

Moving from a traditional architecture to a containerized architecture can be intimidating. This course will teach you how to use Docker and Docker Compose to build and deploy highly scalable Python applications.

Learn to create your own Python packages to make your code easier to use and share with others.