Modern CoreML: Integrating Machine Learning into iOS Apps with Swift

Learn how to integrate pre-trained machine learning models into your iOS applications using Swift and CoreML to build intelligent features like image and text recognition.

4.5 (158) ⏱ 1 godz 24 min 📚 11 lekcji 🎧 Wersja audio

O tym kursie

Adding intelligent features to your iOS apps doesn't require a PhD in mathematics or data science. With CoreML, you can seamlessly run powerful machine learning models directly on user devices, ensuring speed, privacy, and offline functionality. This text-based course guides you through the process of bringing machine learning into your iOS projects. You will learn how to leverage pre-trained models, process real-time data, and convert existing models from popular frameworks into the native format. What you'll learn: - Understand foundational machine learning concepts, including supervised learning and on-device inference - Integrate pre-trained machine learning models into your Swift-based iOS applications - Convert models from external frameworks like TensorFlow and PyTorch using modern conversion tools - Apply the Vision framework to implement real-time image analysis and object classification - Implement natural language processing features for text analysis and sentiment detection - Utilize modern Swift concurrency patterns to handle model loading and prediction asynchronously The course starts with the essential terminology of machine learning before moving into hands-on code walkthroughs. You will explore practical scenarios, from processing inputs to translating complex model outputs into user-friendly app features. This course is designed for iOS developers and beginners who want to add smart capabilities to their apps without diving deep into complex mathematical algorithms. Basic familiarity with Swift is recommended, but no prior machine learning experience is required. Start building smarter iOS applications today.

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  • 📜 Certyfikat ukończenia
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  • 💸 Zwrot w 30 dni
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  • Krótko i konkretnie
    1 godz 24 min praktycznej treści

Recenzje (8)

Shaista Parveen PK Zweryfikowany kursant
★ 3 · 2026-04-30T09:05:57+00:00

It's a decent introduction. Could benefit from more diverse examples and a slightly better flow between modules.

Benjamín Castro CL Zweryfikowany kursant
★ 4 · 2026-04-08T07:17:57+00:00

Good introduction to the topic. The structure was logical, and most of the examples were relevant, though I wished for more depth in certain areas.

Phạm Thị Dung VN
★ 5 · 2026-02-28T22:42:57+00:00

This course exceeded my expectations. The real-world applications discussed are incredibly useful. Great job!

Alexander Martin US
★ 2 · 2025-12-19T17:15:57+00:00

Honestly, pretty disappointing. The concepts weren't explained well at all, and the examples were confusing. Wouldn't do this again.

سليمان DZ Zweryfikowany kursant
★ 4 · 2025-10-08T13:26:57+00:00

It's a solid course. The structure is logical and most of the examples were helpful. Could use a few more real-world scenarios though.

Dawit Abebe ET Zweryfikowany kursant
★ 4 · 2025-09-11T02:58:57+00:00

Wow, I'm impressed. The real-world applications shown were super helpful. Made abstract ideas feel tangible. Great value!

김서현 KR Zweryfikowany kursant
★ 3 · 2025-06-19T18:52:57+00:00

Pretty informative. I liked the practical application examples, though the initial setup took longer than I expected.

ليلى بنت علي BH Zweryfikowany kursant
★ 4 · 2025-04-13T19:02:57+00:00

Fantastic value here. The examples used were super helpful for understanding the core ideas. Definitely worth the time.

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Najczęstsze pytania

Czego potrzebuję, by wziąć udział w tym kursie? +

Wystarczy telefon lub komputer z internetem. Bez instalacji i specjalnego sprzętu.

Jak zapłacić? +

Kartą przez Stripe lub kryptowalutą. Nie przechowujemy danych karty — robi to bezpiecznie Stripe.

Czy mogę otrzymać zwrot? +

Tak — pełen zwrot w 30 dni, bez pytań.

Jak długo będę mieć dostęp? +

Na zawsze. Po zakupie kurs jest twój — wracaj, kiedy chcesz.

Czy dostanę certyfikat? +

Tak. Po ukończeniu otrzymasz certyfikat, który możesz dodać do profilu LinkedIn.

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