CoreML SwiftUI Masterclass - Machine Learning App Development
Learn a new skill to snag a new job now!
Created by John Bura
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Skill level
All levels
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Sections
15
03
Lectures
100
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Instructor
John Bura
What's inside
This course includes.
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15
Sections
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100
Lectures
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99
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 00 Overview 3 lectures
00 Course overview
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01 What you'll need
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02 What is Coreml
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+ 00a What is Machine Learning 2 lectures
01 What is Machine Learning
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03 What is Supervised Learning
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+ 00b (Prerequisite) Introduction to Xcode 8 lectures
00 Intro and Demo
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01 General Interface Intro
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02 File System Introduction
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03 View Controller Intro
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04 Storyboard File Intro
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05 Connecting Outlets and Actions
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06 Running an Application
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07 Debugging an Application
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+ 00c Swift Language Basics 1 lecture
00. Language Basics Topics List
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+ 01. Variable and Constants 9 lectures
01-00 Learning Goals
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01-01 Intros to Variables and Constants
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01-02 Primitive Types
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01-03 Strings
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01-04 Nil Values
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01-05 Tuples
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01-06 Type Conversions
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01-07 Assignment Operators
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01-08 Conditional Operators
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+ 02. Collection Types 6 lectures
02-00 Topics List And Learning Objectives
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02-01 Intro to Collection Types
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02-02 Creating Arrays
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02-03 Common Array Operations
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02-04 Multidimensional Arrays
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02-05 Ranges
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+ 03. Control flow 11 lectures
03-00 Topics List and Learning Objectives
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03-01 Intro to If and Else Statements
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03-02 Else If Statements
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03-03 Multiple Simultaneous Tests
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03-04 Intro to Switch Statements
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03-05 Advanced Switch Statement Techniques
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03-06 Testing for Nil Values
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03-07 Intro to while Loops
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03-08A Intro To For...In Loops
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03-08B Intro To For...In Loops (Cont'd)
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03-09 Complex Loops and Loop Control Statement
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+ 04. Functions 10 lectures
04-00 Topics List and Learning Objectives
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04-01 Intro to Function
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04-02 Function Parameter
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04-03 Return Statements
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04-04A Parameter Variations -Argument Labels
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04-04B Parameter Variations - Default Values
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04-04C Parameter Variations - Inout Parameters
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04-04C Parameter Variations - Variadic Parameters
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04-05 Returning Multiple Values Simultaneously
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04-Source Files
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+ 05. Classes, Struct and Enums 17 lectures
05-00 Topics List and Learning Objectives
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05-01 Intro to Classes
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05-02A Properties as Fields - Add to Class Implementation
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05-02B Custom Getter and Setters
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05-02C Calculated Properties
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05-02D Variable Scope and Self
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05-02E Lazy and Static Variables
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05-03A Behavior and Instance Methods
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05-03B Class Type Methods
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05-04 Class Instances as Field Variables
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05-05A Inheritance, Subclassing and Superclassing
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05-05B Overriding Initializers
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05-05C Overriding Properties
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05-05D Overriding Methods
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05-06 Structs Overview
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05-07 Enumerations
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05-08 Comparisons Between Classes, Structs and Enums
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+ 06 Sentiment analysis with Natural Language CoreML 5 lectures
01-00A What is Sentiment Analysis
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01-00B Natural Language Framework
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01-01 Build a New Swiftui App for Sentiment Analysis
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01-02 Perform Sentiment Analysis in SwidtUI
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01-03 Change Color Depending on Sentiment
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+ 07 Tabular Classification with CreateML 3 lectures
02-01 Train a Model with CreateML
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02-02 Test the Model with CoreML in an App
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02-03 Display Prediction Accuracy
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+ 08 Neural Networks Introduction 2 lectures
03-01 What is Deep Learning
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03-02 What is a Neural Network
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+ 09 Classify images with SwiftUI app and MobileNetV2 neural network 9 lectures
04-01 Load a CoreML Model into a New Xcode Project
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04-02 Add Images for Classification
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04-03 Enable User to Loop Through Images
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04-04 Import CoreML Model into the View
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04-05 Resize Image for Model
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04-05A Resizing Image Overview
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04-06 Convert Image to Buffer for Model
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04-06A Image to Buffer Overview
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04-07 Test the Model on Image Classification
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+ 10 Object detection with Swift Playgrounds and YOLOv3 8 lectures
05-00 Tip - How to Unhide Library Folder
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05-01 Build a New Xcode Project to Compile Model
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05-02 Build a Playground with Object Detection Model
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05-03 Instantiate a Model Object
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05-04 Build an Image Analysis Request
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05-05 Resize Image for Model
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05-06 Convert Image to Buffer for Model
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05-07 Test Object Detection
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+ Extra Course 6 lectures
Extra Course
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02 Perform Sentiment Analysis in SwiftUI
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03 Change Color Depending on Sentiment
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03 Instantiate a model object
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05 Resize image for Model
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06 Convert Image to Buffer for Model
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Description
About this course.
Including comprehensive modules on Apple's latest technology - CoreML & CreateML for making intelligent apps with Machine Learning. You'll be building apps that look like Pokemon Go and Harry Potter's magical newspapers!
Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
Ready to start building?
Learn a new skill to snag a new job now!