Create ML | Core ML | The Ultimate Swift 5 Machine Learning IOS Course - NEW 2024
Master practical iOS app development with Swift 5 using Create ML + Core ML. Learn hands on + real world app integration
Machine Learning,Swift,IOS Development,Mobile Apps,Development
Lectures -28
Resources -8
Duration -3.5 hours
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Course Description
Unlock the Power of Machine Learning in iOS Apps with Create ML
Are you an aspiring app developer, a curious technologist, or an iOS enthusiast eager to incorporate machine learning into your applications? Look no further! Our comprehensive course on Create ML for iOS devices is designed to help you seamlessly integrate advanced machine learning capabilities into your iOS projects, with a focus on practical application over theory.
Why Choose This Course?
- Hands-On Approach: Dive straight into using Create ML with real-world examples. This course emphasizes practical skills, guiding you through the process of implementing image, video, sound, and data models in your apps.
- No Advanced Math Required: You don't need a background in complex mathematics or machine learning theory. We keep it simple, focusing on how to use Create ML tools effectively.
- Real-Life Scenarios: Learn how to gather, process, and implement data in real-world scenarios, making your learning experience highly relevant and immediately applicable.
- Versatile Skill Set: By the end of this course, you’ll be adept at using a variety of templates in Create ML, equipping you to enhance a wide range of iOS applications.
What You Will Learn:
- Foundation of Create ML: Understand the basics of machine learning and how Create ML makes it accessible for iOS developers.
- Data Gathering and Preparation: Master the art of collecting and preparing data for training your models.
- Training Models: Step-by-step guidance on how to train image, video, sound, and data models using Create ML.
- Implementation in Apps: Learn how to seamlessly integrate your trained models into iOS apps, enhancing functionality and user experience.
- Project-Based Learning: Work on practical projects that simulate real-world challenges and solutions.
Who is this Course For?
iOS Developers looking to add machine learning features to their apps.
Students and Hobbyists interested in the practical application of machine learning in app development.
Technologists and Entrepreneurs aiming to understand how machine learning can be applied in iOS environments.
Course Features:
Engaging Video Tutorials
Step-by-Step Screen Shares
Downloadable Resources
Real-World Projects
Interactive Quizzes
Access to a Community Forum
Continuous Course Updates
Embark on this exciting journey to make your iOS apps smarter, more intuitive, and more engaging with the power of machine learning. No prior machine learning experience required!
Enroll now and start transforming your iOS apps with Create ML!
Goals
What will you learn in this course:
- Use CreateML and Train all types of Machine Learning models available.
- Integrate and use ML models with IOS applications.
- Understand input variables as well as the output loss function and test results.
- Correctly label images to add as training data.
- Improve application user experience using ML.
- Follow CreateML best practices to maximize model accuracy and efficiency.
- Generate additional data using data augmentations.
- Introduction to Generative AI and Large Language Models
- Understanding and calling the GPT API
Prerequisites
What are the prerequisites for this course?
- An Apple MacBook running MacOS 10.14 or later is required.
- Basic Swift knowledge is preferred for easier understanding.
- No need to be an expert in Machine Learning.
Curriculum
Check out the detailed breakdown of what’s inside the course
Course Introduction
1 Lectures
- Course Introduction and Code Downloads 01:24 01:24
Getting Started with Create ML
1 Lectures
Image Classification
6 Lectures
Object Detection
4 Lectures
Style Transfer
1 Lectures
Sound Classification
2 Lectures
Recommender Models
2 Lectures
Tabular Regression
2 Lectures
Tabular Classification
2 Lectures
Text Classification and Sentiment Analysis
2 Lectures
Word Tagging
3 Lectures
Large Language Models, GPT-3 GPT-4 Chat API Integration
2 Lectures
Instructor Details
Marc Daou
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