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Machine Learning and Artificial Intelligence Using Swift – Web Courses

Machine Learning and Artificial Intelligence Using Swift – Web Courses

Learn Image Classifications, Turi Create, Sound Classification, Regression, Core ML, Create ML, Face Detection and more!

What you’ll learn

Machine Learning and Artificial Intelligence Using Swift – Web Courses

  • 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

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:

  1. Understanding Machine Learning and Artificial Intelligence
  2. Image Classification Using Pre-existing Models
  3. Image Classification Training Models
  4. Audio Classification
  5. Face Detection
  6. Text and Barcode Detection
  7. Image Classification Using Turi Create
  8. Text and Language
  9. Sentiment Analysis
  10. Sentiment Analysis – Custom Text Classifiers
  11. Drawing Recognition
  12. Activity Recognition Using Core Motion Framework
  13. Style Transfer Using Turi Create
  14. Sentence Generation Using GPT2 Model
  15. Questions and Answers Using BERT
  16. Performing Recommendations
  17. Predicting Prices Using Regression
  18. 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
  • Who wants to take their skills to the next level
  • Developers who wants to become a Data Scientist
  • Last updated 10/2020
Content From: https://www.udemy.com/course/machine-learning-and-artificial-intelligence-using-swift/
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