Swift & AI Masterclass: The Complete 10-Volume Series
Master the fusion of Apple's ecosystem and Artificial Intelligence. This comprehensive series guides you through the entire lifecycle of AI developmentโfrom training custom models to deploying sophisticated LLMs on iPhone, Mac, and Vision Pro.
๐ Series Overview
[Book 1] Core ML & Vision Framework
Focus on on-device computer vision, image classification, object detection, and integrating custom models with Core ML.
[Book 2] Apple Intelligence & Foundation Models
Build the next generation of apps using Apple's new LLM APIs, Writing Tools, and the Apple Intelligence framework.
[Book 3] Natural Language & Speech
Master NLP, sentiment analysis, and text classification alongside advanced Speech-to-Text capabilities.
[Book 4] SwiftUI for AI Apps
Learn to build reactive, intelligent interfaces that handle token streaming and real-time AI predictions.
[Book 5] Create ML Studio
Professional model training without Python. Master tabular, image, sound, and motion classifiers directly in Swift.
[Book 6] AI Agents on Apple Silicon
Take control of local LLMs. Use Ollama, llama.cpp Swift bindings, and custom inference pipelines optimized for Mac.
[Book 7] visionOS & Spatial AI
The future of computing. Build intelligent AR/MR experiences for Apple Vision Pro with RealityKit and on-device AI.
[Book 8] Swift + OpenAI & LangChain
Connect to the cloud. Integrate external LLM APIs, build RAG (Retrieval-Augmented Generation) pipelines, and agentic workflows.
[Book 9] CoreData, CloudKit & Vector Search
Give your AI a memory. Implement persistent storage, semantic search, and cross-device sync for AI data.
[Book 10] Shipping AI Apps to the App Store
From code to profit. Performance profiling, privacy compliance, App Store guidelines, and monetization for AI products.
๐ Key Features
- Privacy-First: Strong focus on on-device processing.
- Apple Silicon Optimized: Maximize Neural Engine and GPU performance.
- Modern Swift: Built with the latest SwiftUI and Swift Concurrency standards.
- Practical Projects: Real-world examples in every volume.
Transform your coding career. Master AI on Apple Platforms.
Code License: All code examples are released under the MIT License. Github repo.
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