Core ML - Machine Learning from Apple Training in Gurgaon, Delhi

Core ML - Machine Learning from Apple

Master Core ML, the machine learning framework used across Apple products (macOS, iOS, watchOS, and tvOS) for performing fast prediction

Duration : 6 months Classes : 36 Days : Weekdays / Weekends

Overview
Curriculum
Pre-requisite
Review

Learn to Build Intelligent apps using Apple's Native Machine Learning API - Core ML.

For developers targeting Apple's vast ecosystem - iOS, macOS, watchOS, and tvOS - Core ML stands as the foundational framework, empowering them to leverage the power of machine learning directly on user devices. This hands-on course is designed for mobile developers, data scientists, and AI enthusiasts who want to integrate machine learning models directly into Apple applications. Core ML is Apple's powerful framework that enables on-device inference with high performance, privacy, and seamless integration into Swift-based workflows. Learners will explore how to convert and deploy models, use Apple's Vision and Natural Language APIs, train custom models with Create ML, and optimize performance for real-time applications. Whether you're building smart camera apps, personalized recommendation engines, or voice-driven interfaces, this course empowers you to deliver intelligent, privacy-preserving experiences across Apple platforms.

At its heart, Core ML provides a unified representation for a wide variety of machine learning models. Core ML has revolutionized how developers build intelligent applications for Apple devices. By abstracting the complexities of machine learning and leveraging Apple's powerful hardware, it empowers developers to create privacy-centric, responsive, and innovative user experiences. Master the art of on-device ML and deliver cutting-edge features-from real-time object detection to personalized natural language processing-that run seamlessly offline.

Target Audience:-
- iOS and macOS developers looking to add machine learning capabilities to their apps
- Data scientists and ML engineers interested in deploying models on Apple devices
- Students and educators in computer science and mobile development programs
- Product teams building intelligent features for consumer or enterprise Apple applications
- AI researchers exploring real-time, privacy-preserving inference on edge devices

Learning Outcomes:-
- Understand the architecture and capabilities of Core ML within Apple's machine learning ecosystem
- Train custom models using Create ML for image, text, and tabular data
- Implement secure, privacy-first on-device inference workflows
- Build and deploy ML-powered apps using Swift and Xcode
- Apply Core ML to solve real-world problems

Course Format:-
✔ The course shall be delivered through a combination of lectures, interactive discussions & case studies
✔ Participants are exposed to practical exercises and new-age projects, where they learn by doing
✔ Participants shall have access to online resources, including reading materials, videos & business simulations
✔ Students shall receive all the study material
✔ Guest speakers from the industry may be invited to share insights and experiences
✔ Regular assessments and quizzes will be conducted to reinforce learning
✔ This is a Classroom only training
✔ Corporates: We understand your specific needs and goals. Contact us for customizations to this training

Trainers:-
✔ Equipped with multidisciplinary backgrounds
✔ Experts from the field of Maths, Financial Markets, AIML, Data Science & Management
✔ Each with over 25+ years of International experience working in EU / US / Australia
✔ All our trainers are Highly Qualified and Certified, in their respective subject areas

To get the maximum benefit from the training, we expect that candidates are familiar with :-

-Mathematical concepts of Probability, Linear Algebra, and Calculus
-Basic Programming and Basic Statistics Skills are Mandatory
-Basic RDBMS concepts
-You have a genuine interest to learn the subject

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NB: All our trainings are always tailored to adopt to the Individual's Pace and Learning Depth.

NB: As a stepping stone, providing foundational knowledge, Bridge Courses are conducted periodically, to help students transition between different levels by closing knowledge gaps. These classes can be attended ad hoc, and are 'complimentary' for our bonafide students.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre and complete your registration.

This syllabus provides a structured, module-by-module breakdown of this comprehensive training program focused on participants overall performance, retention, and engagement, covering foundational theory, implementation, best industry practices and advanced techniques in the subject.

Module 1: Core ML Fundamentals and Setup
✔ Overview of Core ML Ecosystem
✔ The .mlmodel Format
✔ Xcode Project Setup
✔ Basic Model Integration
✔ Core ML vs Create ML vs Turi Create

Module 2: Model Conversion and Optimization
✔ onverting TensorFlow and Keras Models
✔ Converting PyTorch Models
✔ Model Optimization: Quantization
✔ Custom Layers and Operations
✔ Inspection and Debugging

Module 3: Machine Learning Fundamentals for Core ML
✔ Supervised vs unsupervised learning
✔ Regression and Classification Techniques
✔ Common algorithms: decision trees, SVMs, neural networks
✔ Model training vs inference
✔ Dimensionality Reduction
✔ MNIST Core ML Training
✔ Bagging and Boosting

Module 4: Vision Framework for Computer Vision
✔ Introduction to the Vision Framework
✔ Image Classification
✔ Object Detection and Tracking
✔ Real-Time Processing
✔ Core Image Integration

Module 5: Natural Language (NL) and Deployment Strategies
✔ Introduction to the Natural Language Framework
✔ Custom Text Classification
✔ Word Embeddings and Sequence Models
✔ On-Device Model Deployment and Versioning
✔ Local Model Retraining (Create ML)

Module 6: Advanced Performance and Cross-Platform Topics
✔ Performance Profiling
✔ Batch Prediction and Concurrency
✔ Deployment on macOS and watchOS
✔ Multi-Model and Pipeline Execution

Module 7: Privacy, Security, and On-Device Intelligence
✔ Benefits of on-device inference: speed, privacy, offline access
✔ Apple's privacy-first approach to ML
✔ Secure model storage and access control
✔ Federated learning and personalization (intro)

Module 8: Capstone Project - Deploying an Intelligent App
✔ Choose a domain
✔ Train or select a model and integrate it into an iOS app
✔ Implement UI, inference logic, and performance monitoring
✔ Present a working prototype with documentation

NB:The curriculum is regularly subjected to updates, reflecting the latest industry trends & current technological advancements.

At Vyom Data Sciences, we aspire to provide the latest curriculum and most recent technology, as a standard component of all our trainings. Experts, with 25+ years of experience from USA, Europe and Australia, bring the best industry practices while designing and executing these trainings. All our trainers are Highly Qualified and Certified in their respective subject areas.

Kindly fill the DownloadPDF Form for the Brouchre with latest curriculum and full Training details.
Or you may Book an Appointment to collect your Brouchre.

Bhawana

Fabulous NLP + ML course

I have eleven plus years of experience taking training courses. I do not usually complete surveys.
Your instructor was excellent, the best I've experienced on a software subject, and I couldn't imagine him doing a better job of seamlessly walking students through a breadth of information for such complex subject like AI and ML. he did a fabulous job pacing everything and addressing student questions. I am very impressed.

Harish

Excellent ML course!

The course was well structured and easy to understand. Good pace of learning.
The institute believes to provide knowledge as well as guidance in detail to each & every student.
I completed my ML course from the institute. Their international exp does help a lot !
Thanks for the training sir.