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Core ML: Machine Learning for iOS


Last Updated March 7, 2022


No experience required

Course Lessons

Lesson 1

Using Core ML

Core ML enables developers to use trained machine learning models in their apps. Learn the basics of Core ML and how to incorporate MobileNet, an image classification model, into an app.

Lesson 2

A Custom Core ML Model

Apple's default models are only the starting point for on-device machine learning. With custom models, you can define your interface and build a truly custom experience.

Lesson 3

Core ML Extras

Enjoy bonus content like an interview with Meghan Kane, the engineer who inspired this course, two blog posts from fellow students, and a challenge app!

Taught By The Best

Photo of Jarrod Parkes

Jarrod Parkes


Jarrod is an experienced iOS developer with a passion for reinventing how students learn. He holds a BS in Computer Science from the University of Alabama.

Photo of Meghan Kane

Meghan Kane


The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

  • Gain proven experience

  • Retain knowledge longer

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Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.

  • Get help from subject matter experts

  • Learn industry best practices

  • Gain valuable insights and improve your skills

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