Practical iOS 11- What New in iOS 11, Swift 4 and Xcode 9

Practical iOS 11: Whats New in iOS 11, Swift 4 and Xcode 9, available at $19.99, has an average rating of 4.8, with 64 lectures, based on 25 reviews, and has 2140 subscribers.

You will learn about You will know all the new APIs added to iOS 11 and Xcode 9 new features. This course is ideal for individuals who are Students who have already taken some iOS development courses It is particularly useful for Students who have already taken some iOS development courses.

Enroll now: Practical iOS 11: Whats New in iOS 11, Swift 4 and Xcode 9

Summary

Title: Practical iOS 11: Whats New in iOS 11, Swift 4 and Xcode 9

Price: $19.99

Average Rating: 4.8

Number of Lectures: 64

Number of Published Lectures: 64

Number of Curriculum Items: 64

Number of Published Curriculum Objects: 64

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

You will know all the new APIs added to iOS 11 and Xcode 9 new features.

Who Should Attend

Students who have already taken some iOS development courses

Target Audiences

Students who have already taken some iOS development courses

iPhone Development Course

What’s New in IOS 11, Swift 4 and Xcode 9

In this course you are going to learn some of the new features added to iOS 11 and Xcode 9. We are going to create multiple apps that focus on each of the new features. Some of these new features include;

New Xcode Features

Xcode has lots of new features and we’ll be taking a look at some of the new exciting features and how to take advantage of them to make you a better coder. These features include structure highlighting, method extraction, easy renaming, github integration etc.

ARKit

Artificial Reality app used to take thousands of lines of code and complex algorithm to achieve but with the new iOS 11 ARkit, it takes only few lines of code to make an AR app.

Machine Learning

Machine learning is gaining traction in the computer industry and there’s no better time to learn machine learning and how to develop an app that take advantage of it. We’ll develop a simple app that can recognise dominant object in a photo and an app that can recognise the faces of the people in a photo

Drag and Drop

iOS 11 allows user to drag and drop content within one app and also between two different apps. We’ll develop a basic app that allows dragging text from one part to another part.

Vision

We’ll develop an app that allows you to track real world object directly through your phone’s camera. This is a nice feature.

Many more.

We’ll be diving into Natural Language Processing, SiriKit, PDFKit, Apple Music integration, new camera APIs, new Files app and so on…

Now’s the best time to learn iOS 11, Swift 4 and Xcode now before the official release of the public version to the users.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction to the course

Lecture 2: Whats new in iOS 11

Chapter 2: Whats New in iOS 11 and Xcode 9

Lecture 1: Introduction

Lecture 2: Introduction to the project file

Lecture 3: Add large title to navigation bar

Lecture 4: Disable large title on a view controller

Lecture 5: Increase or decrease font size

Lecture 6: Run multiple simulators at the same time

Lecture 7: Simulators now have hardware buttons

Lecture 8: Refactoring – Renamed variables propagates throughout the project

Lecture 9: Extract methods from a chunk of code

Lecture 10: Structure highlighting

Lecture 11: Resize simulator window freely

Lecture 12: Wireless building

Lecture 13: Ability to add named colors

Lecture 14: One click protocol stubs fix

Chapter 3: Machine Learning – CoreML – Image Recognition App

Lecture 1: Introduction

Lecture 2: Setting up the image detection app user interface

Lecture 3: Setting up the button click event

Lecture 4: Download the model from the Apple website

Lecture 5: Create the model and the request

Lecture 6: Create the handler and perform the request

Lecture 7: Request results and result confidence

Chapter 4: Machine Learning and Vision – Face Detection App

Lecture 1: Introduction

Lecture 2: Design the user interface of the face detection app

Lecture 3: Set up the UIImageView programmatically

Lecture 4: Create the next image button click event

Lecture 5: Create the detect faces function to get the bounding box

Lecture 6: Create the bounding box for each of the faces

Lecture 7: More photo samples to test the app

Chapter 5: Artificial Reality ARKit App – Placing 3D objects in your environment

Lecture 1: Introduction

Lecture 2: Create the user interface for the app

Lecture 3: Configuration session and setting up the camera usage description

Lecture 4: Add Apple 3D models into the app

Lecture 5: Create a Model class

Lecture 6: Testing the model class and positioning models

Lecture 7: Create the function to add model and to pass different model names

Lecture 8: Create the touch began function to get touch position

Lecture 9: Pick random models and place around the environment

Chapter 6: Vision – Real Time Object Tracking Through The Camera

Lecture 1: Introduction

Lecture 2: Design the user interface of the object tracking app

Lecture 3: Create the camera as the input device

Lecture 4: Create the camera output, set up camera permissions and run the camera

Lecture 5: Adding the delegate method for capturing image frames

Lecture 6: Vision request using the Inception CoreML model

Lecture 7: Displaying the result and testing the app to track real world objects

Chapter 7: Drag and Drop Feature – Drag Texts To A UITableView

Lecture 1: Introduction

Lecture 2: Design the user interface of the drag and drop app

Lecture 3: Set up the table view correctly

Lecture 4: Configure the items to drag delegate function

Lecture 5: Implement a drag preview for lifting delegate function

Lecture 6: Complete the tableview drop delegate implementation and testing the app

Chapter 8: Natural Language Processing App

Lecture 1: Introduction

Lecture 2: Designing the UI of the language processing app

Lecture 3: Detect the dominant language of a text

Lecture 4: Break words into lexical

Lecture 5: Tokenization – breaking sentences into words

Lecture 6: Lemmatization – find the root of any word

Lecture 7: NameType – detect organization, personal and place names in a text

Chapter 9: QR Code Reader App

Lecture 1: Introduction

Lecture 2: Introduction to the starter project

Lecture 3: Create the function to perform the image request

Lecture 4: Create QR Codes and test the app

Lecture 5: Getting the barcode string value and navigating to the website

Instructors

Dee Aliyu Odumosu
Freelance Developer with over 120 Apps Developed

Jason Taylor
Lead Software Engineer, Dev Trainer (19 courses,50k reviews)

Rating Distribution

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2 stars: 1 votes

3 stars: 0 votes

4 stars: 6 votes

5 stars: 18 votes

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