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Advanced Programming in iOS11 and Swift 4

This free online course examines the application and implementation of core data and machine learning concepts.

Publisher: YouAccel Training
Core Data is one of the most popular frameworks provided by Apple for iOS and macOS apps. One can use it to manage the model layer object in an application. This course introduces you to the definition of core data, how to create core data entities and attributes, and how to manipulate core data. You will also learn how to develop intelligent features and enable new experiences. Register for this course today and begin your next learning journey!
Advanced Programming in iOS11 and Swift 4
  • Durata

    4-5 Oras
  • Students

  • Accreditation






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This free online course, "Advanced Programming in iOS11 and Swift 4", introduces you to Core Data. Core Data is one of the most popular frameworks provided by Apple for iOS and macOS apps. Core data is used to manage the model layer object in an application. You can treat Core Data as a framework to save, modify, track, and filter the data within iOS apps. However, Core Data is not a Database. You will get a sense of what Core Data does behind the scenes and how you can interact with the various moving pieces. Alamofire is a Swift-based HTTP networking library for iOS and macOS. It provides an elegant interface on top of Apple's Foundation networking stack that simplifies several common networking tasks. By the end of this course, you should understand HTTP networking and some exposure to Apple's networking classes.

Google developed Firebase for creating mobile and web applications. It was initially an independent company founded in 2011. In 2014, Google acquired the platform, and it is now their flagship offering for app development. Firebase offers several services, including analytics, authentication, cloud messaging, and real-time database. This course outlines how to link Xcode projects and firebase projects. Machine learning is the study of computer algorithms that can automatically improve through experience and by using data. It is seen as a part of artificial intelligence. Models are built by machine learning algorithms based on sample data, known as "training data". These models make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in various applications, such as in medicine, email filtering, and speech recognition. It is also applied in computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

Examples of Machine Learning are everywhere. It's how Netflix knows which show you'll want to watch next or how Facebook recognizes your friend's face in a digital photo. You will learn how to train your application to speak what it sees by recognizing it. You should be able to apply this knowledge and implement other features of machine learning in your applications. Augmented Reality (AR) entails user experiences that add 2D or 3D elements. It turns the environment around you into a digital interface by placing virtual objects in the real world, in real-time. To simplify the task of building an AR experience, ARKit combines device motion tracking, camera scene capture, advanced scene processing, and display conveniences. This course will show you how to create many kinds of AR experiences by using the front or rear camera of an iOS device. So, register for this course today and begin your next learning journey!

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