Last updated 10/2019
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.30 GB | Duration: 8h 52m
Learn Core ML, Vision, ARKit, Drag & Drop, NFC reading, PDFKit, MusicKit, and more
What you'll learn
Work with Apple's newest API's
Requirements
Xcode 10 is needed - Which is a free download from the App Store
Description
Note: All finished projects and source code have been update to swift 5.0. So even though some lectures are shown using Swift 4.2, just reference the source code for any update you might need.iOS gives us a whole range of powerful new tools for you to build intelligent apps, and this course helps you get started with them as quickly as possible: Core ML, Vision, ARKit, and more.Machine Learning:*Take advantage of Core ML to deliver intelligent new apps that can proactively assist your users.ARKit:*Learn how to augment reality with slick interactive graphics thanks to Apple's new ARKit framework.Drag & Drop:*Let users move data freely inside your app and others too using powerful new multi-touch gestures.Plus:*NFC reading, PDFKit, Vision, MusicKit, and more!This course is*written*by the award winning Swift programmer,*Paul Hudson, it is from his best selling*book,*"Advanced iOS: Volume Two", made into a lecture style course,*and these videos were made with his permission*and support.*Paul is the author of the Hacking With Swift series of tutorials, which*is one of the most popular Swift coding sites*online.*Paul also*has received high praise from the creator of the Swift language, Chris Lattner, for his outstanding method of teaching, and series of Swift*tutorials.*And working together with iOS developer Steve DeStefano, the Hacking with Swift series of*programming*training videos are simply the fastest way to learn how to code in the Apple eco-system.This course*incorporates the*use of*annotations,*callouts, diagrams,*highlighting, and deep explanations*that help make*complex subject matter, much easier to grasp, and guide*you along the path of the code, each step of*the way.Please note:*These are intermediate to*advanced projects, and this*course*will not teach you the*Swift language, or how to code,*you should already have completed*Paul Hudson's Swift*tutorials at HackingWithSwift dot*com, or gone through the Hacking With Swift beginner to pro course here on Udemy.Advanced iOS: Volume Two includes seven new projects that teach some of the most powerful features in iOS, plus technique projects that deep-dive into smaller features: • Project 1: Trade my Tesla*Teach iOS how to evaluate the trade-in price of cars using machine learning.Project 2: Sightspotter*Blend augmented reality with Core Location to help tourists find their way around a city.Project 3: Going Postal*Create fun postcards using images, text, and colors, all powered by iOS's new drag and drop APIs.Project 4: Swift Sampler*Learn to render PDFs with watermarks and interactive thumbnails, all using PDFKit.Project 5: Picture Protector*Build an app that detects faces in photos and lets users interactively blur any they want.Project 6: Name that Tune*Use MusicKit to fetch data from Apple Music and build a fast-paced two-player charts game.Project 7: Video X-Ray*Let users record a video while the Vision framework silently detects and records all objects in the scene.Along the way you'll learn all this and more:How to use Core ML and the Vision framework to leverage machine learning in your own apps.Building both games and apps from scratch using ARKit's augmented reality technology.How to integrate drag and drop into your apps using table views, collection views, and moreThe all-new PDFKit framework, delivering fast and efficient PDF rendering on iOS.Using the new depth-mapping APIs exposed through the iPhone camera.Automatically detecting and blurring faces using the Vision framework.Reading NFC tags using Core NFC.Taking advantage of the new MusicKit APIs to work with Apple Music.And more!If you want to take advantage of some of the most advanced functionality provided in iOS, there's no faster way than the Advanced iOS series.
Overview
Section 1: Introduction - Welcome
Lecture 1 Introduction
Section 2: Whats new in Swift 4?
Lecture 2 Whats new in Swift 4?
Section 3: Quick overview
Lecture 3 Drag and Drop
Lecture 4 ARKit
Lecture 5 PDFKit
Lecture 6 Core ML - Machine Learning and Vision
Section 4: Project 1 - Trade My Tesla
Lecture 7 Project 1 Intro
Lecture 8 Part 1 - Setting up - Machine learning 101
Lecture 9 Part 2A - Named colors and stack view spacing
Lecture 10 Part 2B - Named colors and stack view spacing
Lecture 11 Part 3 - Generating predictions
Section 5: Project 2a - Sightspotter
Lecture 12 Project 2a Intro
Lecture 13 Part 1 - Setting up - A tour through Apple's code
Lecture 14 Part 2 - Shooting targets
Lecture 15 Part 3 - Adding some pressure
Section 6: Project 2b - Sightspotter using the wikipedia API
Lecture 16 Project 2b Intro
Lecture 17 Part 1 - Making a real app
Lecture 18 Part 2 - Calculating relative headings
Section 7: Project 3 - Going Postal
Lecture 19 Project 3 Intro
Lecture 20 Part 1 - Setting up - Creating a split-view interface
Lecture 21 Part 2 - Getting the basic app running
Lecture 22 Part 3 - Drag and dropfrom tables and collection views
Lecture 23 Part 4 - Dragging image views
Section 8: Project 4 - Swift Sampler
Lecture 24 Project 4 Intro
Lecture 25 Part 1 - Setting up - Up and running with PDFKit
Lecture 26 Part 2 - Controlling our PDF
Lecture 27 Part 3 - Reading formatted text
Lecture 28 Part 4 - Watermarking documents
Section 9: Project 5 - Picture Protector
Lecture 29 Project 5 Intro
Lecture 30 Part 1 - Setting up - Importing a photo
Lecture 31 Part 2 - Detecting faces
Lecture 32 Part 3 - Tap to blur
Section 10: Project 6 - Name That Tune
Lecture 33 Project 6 Intro
Lecture 34 Part 1 - Setting up - Authenticating against Apple Music
Lecture 35 Part 2 - Whats available to us
Lecture 36 Part 3 Reading the Apple Music configuration
Lecture 37 Part 4 - Fetching and parsing API data
Lecture 38 Part 5 - Designing our game controller
Lecture 39 Part 6 - Select songs to win
Section 11: Project 7a - Image XRay
Lecture 40 Project 7a Intro
Lecture 41 Project 7a - Image X-Ray
Section 12: Project 7b - Video XRay
Lecture 42 Project 7b Intro
Lecture 43 Part 1 - Preparing to scan a live video
Lecture 44 Part 2 - Working with pixel buffers
Lecture 45 Part 3 - Making recorded predictions
Section 13: Project 8A - iOS Design Techniques
Lecture 46 Project 8A Intro
Lecture 47 Part 1 - Adopting the iOS 11 design
Lecture 48 Part 2 - Rethinking the edges
Lecture 49 Part 3 - Improved table views
Section 14: Project 8B - Techniques for extending drag and drop
Lecture 50 Project 8B Technique Intro
Lecture 51 Project 8B Technique - Techniques for extending drag and drop
Section 15: Project 8C - Techniques for reading depth in photos
Lecture 52 Project 8C Intro
Lecture 53 Reading depth in photos
Section 16: Project 8D - Scanning NFC tags
Lecture 54 Project 8D Intro
Lecture 55 Scanning NFC tags
Section 17: Project 8E - Detecting the features of a face with "Vision"
Lecture 56 Project 8E Intro
Lecture 57 Project 8E - Face details with Vision
Section 18: Frequent Fyler Club
Lecture 58 Frequent Flyer Club
This course is meant for intermediate and advanced programmers as it does not teach the Swift language, or how to code
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