Catalog

If you're new to Swift and iOS development and want to write applications that run on the iPhone or iPad, this course is just what you need.

Everything you need to learn the Swift programming language. This 2-day course covers Swift development best practices and patterns.

If you're new to iOS development and want to write applications that run on the iPhone or iPad, this course is just what you need.

Take your iOS skills to the next level with this intensive dive into performance tuning, debugging, and exploring a wide range of iOS’ frameworks and APIs.

If you want to learn how to write applications that use SwiftUI and run on the iPhone, iPad, and macOS, this 4-day course is just what you need. In just four days, we’ll have you building your first Apple platform applications using SwiftUI.

The goal of this 1.5-day course is to provide students with best practices around testing, refactoring code to be more testable, and writing good tests. To achieve this goal, students will practice writing tests throughout the course.

This 5-week blended learning course will combine self-paced study with instructional hours from our SwiftUI instructors. At the end, you'll be ready to build your first Apple platform applications using SwiftUI.

The goal of this 1.5-day course is to provide students with best practices around testing, refactoring code to be more testable, and writing good tests. To achieve this goal, students will practice writing tests throughout the course.

This 1.5-day course teaches students how to write apps for the most popular mobile operating system on the planet using the Jetpack Compose UI framework. Students will learn Android best practices that would otherwise require years of experience to fully understand.

Want to write Android applications? New to Kotlin and Android development? This course is just what you need.

Learn how to develop applications for the most popular mobile platform. This course covers all of the necessary fundamentals to develop elegant Android apps using Kotlin.

Discover why Google has pinned Kotlin as the preferred language for Android development with this two-day course. You will learn Kotlin development techniques and language principles, and will walk away knowing how to migrate existing Java projects to Kotlin.

Get ready to level-up your Android knowledge in this 4-day course. Learn best practices and libraries that will help you get your apps ready to release.

If you have some programming experience and want to learn how to build responsive web applications using React, this course is for you or your team. In this 3.5-day course, students craft responsive websites and tame complexity through maintainable user interface components.

Registration Deadline: August 7 Go (Golang) is a popular open-source programming language originally developed by Google in 2009. This four day course explores the language by walking students through the steps to develop a command line application, as well as a web application. Students will learn language fundamentals, core design principles, and advanced topics like generics and concurrency.

If you have some programming experience and want to build a backend using Node.js, Express, and MongoDB, this course is for you or your team. In this 1.5 day course, you will learn how to create a server with Express including a RESTful API. You will also learn how to store data in MongoDB and enforce the schema with Mongoose. Finally, you will learn to test your application with jest and Cypress.

If you want to make your apps easier to use, find out what delights users, or more effectively collaborate with your design team, this is the course for you. In just four hours, we’ll have you making smarter design choices and building more appealing screens.

Registration Deadline: November 24 This three day course takes a pragmatic approach to machine learning by focusing on practical examples in order to accomplish specific goals. Students will explore different techniques, tools and frameworks while simultaneously building proper mental models to use when tackling machine learning problems.