iOS Training Courses in Thailand

iOS Training Courses

Online or onsite, instructor-led live iOS training courses demonstrate through hands-on practice the fundamentals of iOS.

iOS training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live iOS training can be carried out locally on customer premises in Thailand or in NobleProg corporate training centers in Thailand.

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iOS Course Outlines in Thailand

Course Name
Duration
Overview
Course Name
Duration
Overview
14 hours
Overview
This instructor-led, live training in Thailand (online or onsite) is aimed at iOS developers who wish to master iOS enterprise architecture, design patterns, and reactive programming with Swfit.

By the end of this training, participants will be able to:

- Create more powerful, self-directed, and simple code.
- Simplify API management with Alamofire.
- Implement reactive programming in iOS with RxSwift.
- Understand different iOS architecture patterns and designs.
7 hours
Overview
In this instructor-led, live training in Thailand, participants learn to use Create React Native App through discussion and hands-on practice. By the end of the course, participants will be equipped to create and deploy their own React Native application using Create React Native App.
35 hours
Overview
This 5 day course is for developers who want to learn how to develop applications for iPhone and iPad running iOS8. The course is hands on and shows how to develop applications from scratch using Apple's new Swift programming language using the Xcode6 IDE. During the course a fully functional Tetris style block game will be developed from scratch using Swift. The course ends with developing a new application from scratch in Swift. The course assumes some programming experience.

This course can only be run on Intel based Apple hardware such as a MacBook or a Mac Mini. Delegates need to have registered with Apple and have an Apple ID which is required to download software. Delegates wishing to run the applications developed during the course on an iPhone or iPad need to be registered as iOS developers with Apple and have registered their device for development. Apple charge $99 per year to register as an iOS developer.
35 hours
Overview
All the skills and knowledge you need to make your first iPhone/iPad application using the latest iOS SDK and tools.
35 hours
Overview
This 5 day course is for developers who want to learn how to develop applications for iPhone and iPad running iOS 11. Xcode 9, Swift 4 and iOS 11 introduced significant changes in the way applications are written.

The course is hands on and shows how to develop applications from scratch using the Swift programming language and the Xcode 9 IDE.

During the course a fully functional application will be developed from scratch using Swift.

This course can only be run on Intel based Apple hardware such as a MacBook or a Mac Mini. Delegates need to have registered with Apple and have an Apple ID which is required to download software. Delegates wishing to run the applications developed during the course on an iPhone or iPad using a USB cable will need to register their device with Xcode.
35 hours
Overview
Kotlin is a modern, functional and object-oriented programming language based on Java.

In this instructor-led, live training, participants will learn Kotlin programming as they step through the creation of an Android and iOS app using Kotlin.

By the end of this training, participants will be able to:

- Understand the fundamentals of programming in Kotlin
- Code their own Kotlin application
- Build, test, deploy, and troubleshoot Android and iOS apps using Kotlin

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
In this instructor-led, live training, participants will learn how to use the iOS Machine Learning (ML) technology stack as they step through the creation and deployment of an iOS mobile app.

By the end of this training, participants will be able to:

- Create a mobile app capable of image processing, text analysis and speech recognition
- Access pre-trained ML models for integration into iOS apps
- Create a custom ML model
- Add Siri Voice support to iOS apps
- Understand and use frameworks such as coreML, Vision, CoreGraphics, and GamePlayKit
- Use languages and tools such as Python, Keras, Caffee, Tensorflow, sci-kit learn, libsvm, Anaconda, and Spyder

Audience

- Developers

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
7 hours
Overview
This instructor-led, live training in Thailand introduces participants to reactive techniques offered by RxSwift for managing the transferring and combining of asynchronous data streams, handling simple observable sequences, and the architecture and development of responsive, flexible, and industry scalable iOS applications.

By the end of this training, participants will be able to:

- Understand the basic concepts behind reactive programing in Swift 3.
- Turn various items such as arrays and events into observable sequences.
- Apply various filters to observable sequences, transform and combine observable sequences.
- Write Unit tests against Rx Code.
- Effectively utilize blind data from user interface elements.
7 hours
Overview
This instructor-led, live training in Thailand (online or onsite) is aimed at iOS developers who wish to use SceneKit to develop 3D interfaces, effects, and animations to enhance user immersion.

By the end of this training, participants will be able to:

- Develop 3D applications using SceneKit and Swift.
- Add animations, particle effects, and physics simulations.
- Create a 3D application from scratch without having to use an external development software, such as Unity.
35 hours
Overview
Who should attend?

This 5 day course is for developers who want to learn how to develop applications for iPhone and iPad running iOS 10. Xcode8, Swift3 and iOS 10 introduced significant changes in the way applications are written.

The course is hands on and shows how to develop applications from scratch using the Swift programming language and the Xcode 8 IDE.

During the course a fully functional application will be developed from scratch using Swift.

This course can only be run on Intel based Apple hardware such as a MacBook or a Mac Mini. Delegates need to have registered with Apple and have an Apple ID which is required to download software. Delegates wishing to run the applications developed during the course on an iPhone or iPad using a USB cable will need to register their device with Xcode.
35 hours
Overview
This 5 day course is for developers who want to learn how to develop applications for iPhone and iPad running iOS 11. Xcode 9, Swift 4 and iOS 11 introduced significant changes in the way applications are written.

The course is hands on and shows how to develop applications from scratch using the Swift programming language and the Xcode 9 IDE.

During the course a fully functional application will be developed from scratch using Swift.

This course can only be run on Apple hardware such as a MacBook Pro or a Mac Mini.

Delegates need to have registered with Apple and have an Apple ID which is required to download software - Xcode.

Delegates wishing to run the applications developed during the course on an iPhone or iPad using a USB cable will need to register their device with Xcode.

Delegate must be able to understand all basics of Swift after this and course and should be able to make any kind of application in iOS and dig into more complex applications on iOS
21 hours
Overview
This instructor-led, live training in (online or onsite) is aimed at developers who wish to use TensorFlow Lite to develop iOS mobile applications with deep learning capabilities.

By the end of this training, participants will be able to:

- Install and configure TensorFlow Lite.
- Understand the principles behind TensorFlow and machine learning on mobile devices.
- Load TensorFlow Models onto an iOS device.
- Run an iOS application capable of detecting and classifying an object captured through the device's camera.
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