AI and ML for Coders in PyTorch

AI and ML for Coders in PyTorch: A Coder's Guide to Generative AI and Machine Learning

Architect your intelligent logic and master the high-performance protocols of modern neural engineering. AI and ML for Coders in PyTorch provides a definitive, code-first roadmap to the most significant shift in software development since the digital revolution. Learn how to move beyond traditional conditional logic to high-velocity, model-driven discovery—bridging the gap between a standard script and a sophisticated, AI-integrated ecosystem—ensuring your technical projects are resilient, scalable, and ready for the 2026 global technology landscape.

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What You Will Learn:

Foundations of PyTorch Architecture: Master the core principles of building AI models for computer vision and NLP without needing advanced math or theory expertise.

Modern Generative Workflows: Step-by-step guidance on utilizing Hugging Face Diffusers and Transformers to maintain peak operational integrity in generative AI development.

Scalable Modeling Patterns: Discover how to build and sequence models for real-world applications, maintaining the structural integrity and technical agility of your deployments.

Strategic Security & Cloud Integrity: Learn advanced techniques for deploying models across the web and cloud confidently—ensuring the technical agility of your evidence-based AI delivery.

Who This Book is For: This professional-grade guide is essential for Software Developers, Data Engineers, and AI Enthusiasts. It is an invaluable resource for any technical lead—including those building highly advanced, AI-secured graduation projects like Smart Guard—aiming to master the structural integrity and technical agility required for modern, AI-era development.

Product Details:

Format: Digital PDF / eBook Download

Author: Laurence Moroney (Lead AI Advocate at Google)

Publisher: O'Reilly Media

Edition: 1st Edition (Released August 2025)

Pages: 442

ISBN-13: 9781098199173

ISBN-10: 1098199170