Machine Learning and Artificial Intelligence Using Swift
What you'll learn
- Machine Learning and Artificial Intelligence Using Swift
- Training Models Using Create ML
- Training Models Using Turi Create with Python
- Utilizing User Interfaces Implemented in SwiftUI
- Text Generation and Answer Predictions Using BERT and GPT2 Models
- Augmented Reality Integration Using ARKit
- Text and Barcode Detection
- Face Detection
- Sentiment Analysis
Course content
- Preview03:53
- Preview02:49
- 02:10Exercise Files
- 00:50Credit: Practical Artificial Intelligence with Swift
- 00:05Resource: Practical Artificial Intelligence with Swift
Requirements
- Knowledge of Swift Language
- macOS Catalina
- Xcode 11.3.1 or above
- SwiftUI experience is recommended but not required
Description
Are you ready to add Artificial Intelligence and Machine Learning to your iOS Apps?
In this course you will learn how to use the power of Swift Language to integrate machine learning into your applications. Developers with AI & Machine Learning experience get paid around $120,000 yearly salary. This course is over 100 video lectures, which covers every aspect of AI and Machine Learning with Swift Language. All the lectures are accompanied with downloadable source code files.
This course is targeted for developers of all levels of experience. After completing this course, you will be able to successfully add machine learning to your iOS apps.
Check out the contents of the course:
Understanding Machine Learning and Artificial Intelligence
Image Classification Using Pre-existing Models
Image Classification Training Models
Audio Classification
Face Detection
Text and Barcode Detection
Image Classification Using Turi Create
Text and Language
Sentiment Analysis
Sentiment Analysis - Custom Text Classifiers
Drawing Recognition
Activity Recognition Using Core Motion Framework
Style Transfer Using Turi Create
Sentence Generation Using GPT2 Model
Questions and Answers Using BERT
Performing Recommendations
Predicting Prices Using Regression
Augmented Reality Using Artificial Intelligence
What are the prerequisites for this course?
This course requires knowledge of Swift language. SwiftUI framework knowledge is recommended but not required.
Who should take this course?
This course is intended for all iOS developers, who want to power their apps using artificial intelligence and machine learning using Swift language.
What students are saying?
There are a lot of Swift courses that show you how to make twitter or instagram, etc ... but Almost all of them don't pay attention to software engineering best practices. What Mohammad has done here is creating rather small projects that have very high quality and actually teach you how to write good code.
BY FAR THE BEST SwiftUI course. I own/watched all of them. This course has both the most relevant content and the best practices to achieve the end result. I have been programming iOS since the App Store opened. My apps have been featured by Apple many times. But I have learned a great deal from this course. HIGHLY RECOMMENDED.
Learning advanced concepts is hard, but Azam makes it easy to understand. and I'm a person who can't understand without making an app, this course is so helpful and an investment for me.
I hope you enjoy the course!
Who this course is for:
- Developers who wants to learn about Machine Learning and AI using Swift Language
- Developers who wants to take their skills to the next level
- Developers who wants to become a Data Scientist
Featured review
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Instructor
- 4.5 Instructor Rating
- 7,373 Reviews
- 54,063 Students
- 31 Courses
My name is Mohammad Azam and I have been programming in iOS for the last 10+ years. Currently, I am teaching Full Stack Development at DigitalCrafts. Before joining DigitalCrafts I worked as a lead mobile developer for many large companies including Schlumberger, Baker Hughes, AIG and Valic. Currently, I am a senior developer at Blinds Dot Com, a Home Depot company. Before iPhone development I was leading projects in Microsoft ASP technology. I was also awarded the Microsoft MVP award five years in a row due to my contributions in the community.
I have also published several of my personal apps to the App Store including Vegetable Tree which was featured by Apple as the most beautiful gardening app on the App Store. I am a frequent speaker at local and national conferences and have authored many articles for many different development magazines.