Deploying Machine Learning Models with Vapor and Core ML is a unique hands-on course that bridges the gap between Python-based model training and Swift-based deployment. In this course, you'll learn how to clean and prepare your data using Python, applying essential techniques like standardization and label encoding to build high-quality machine learning models. Once trained, you'll convert your models to Apple’s Core ML format using Core ML Tools, making them ready for integration into iOS apps.

But the course doesn’t stop there — you’ll go a step further by embedding the model directly into a SwiftUI-based iOS app and learn how to make predictions in real-time. Finally, you’ll discover how to host the Core ML model using Vapor, Apple’s server-side Swift framework, enabling seamless integration between client and server.

What makes this course truly stand out is its end-to-end approach that combines the power of Python’s data science ecosystem with the performance and elegance of server-side Swift — giving you the tools to create intelligent, full-stack iOS applications.

Ready to build and deploy smarter apps? Let’s get started!

Frequently Asked Questions

Who is this course for?

This course is ideal for iOS developers who want to bring machine learning into their SwiftUI apps, Python developers looking to expand into mobile and server-side Swift, and machine learning enthusiasts eager to learn how to deploy models in real-world applications. If you’re excited about combining Python's data science power with Swift’s performance to build intelligent, full-stack iOS experiences, this course is for you.

What will you learn in this course?

In this course, you’ll learn how to clean and prepare data using Python, apply techniques like standardization and label encoding, and train a machine learning model using scikit-learn. You’ll then convert the trained model into Core ML format, integrate it into a SwiftUI iOS app for on-device predictions, and finally deploy the model using Vapor to enable server-side inference. Along the way, you'll gain valuable skills in full-stack development, combining machine learning, iOS, and server-side Swift.

What is your refund policy?

Our 14-day refund policy ensures your satisfaction with your purchase. If you are not completely happy with your product or service, you have a two-week window to request a refund. This policy gives you peace of mind, allowing you to explore our offerings risk-free, and it reflects our commitment to providing you with a positive experience. We are here to assist you in any way possible to ensure your needs are met