Sign-In
Cart
Differentiable Programming for AI Engineers: Practical Workflows with PyTorch, JAX, and Julia
Paperback
Publisher: Independently Published
Published: Aug 18 2025
Pages: 238
Weight: 0.92
Height: 0.50 Width: 7.00 Depth: 10.00
Language: English
Differentiable programming is rapidly becoming a cornerstone of modern artificial intelligence, extending the power of gradient-based optimization far beyond neural networks into domains as diverse as physics, control systems, graphics, and large-scale simulation. While research papers and scattered tutorials have introduced fragments of the field, Differentiable Programming for AI Engineers is the first and only comprehensive guide designed to help practitioners and advanced students grasp its principles and apply them effectively using today's leading frameworks.
This book unifies the concepts, tools, and methods of differentiable programming in a clear and practical fashion, balancing mathematical rigor with hands-on engineering workflows. Through carefully chosen explanations and code examples in PyTorch, JAX, and Julia, the book demonstrates how to move from theory to implementation without losing sight of precision or usability.
The book covers the foundations of automatic differentiation, differentiable optimization, and end-to-end trainable systems, while extending to cutting-edge applications such as differentiable physics engines, differentiable graphics and rendering, and optimization in complex industrial systems. Alongside these, it introduces advanced practices for workflow design, hybrid modeling, and the integration of differentiable components into real-world AI pipelines.
With an emphasis on clarity and practical value, this book shows how to construct, analyze, and deploy differentiable programs that can optimize themselves in dynamic environments. Each chapter pairs essential mathematical ideas with runnable code, making the material directly applicable for engineers and researchers alike.
Based on years of experience building AI applications, this volume will help readers understand the principles of differentiable programming, evaluate its role in modern AI systems, and design workflows that extend learning into new domains. It is essential reading for machine learning engineers, applied researchers, and anyone aiming to master the next generation of optimization-driven AI.
Also from
Vale, Ethan
Claude Code Multi-Agents: Building Autonomous Systems with Collective Intelligence
Vale, Ethan
Paperback
The Psychology of Digital Selling: Where Technology Meets Trust, and Emotion Drives Conversion.
Vale, Ethan
Paperback
Advanced Hugging Face Workflows: Scaling LLMs, RAG Pipelines, and Autonomous AI Agents
Vale, Ethan
Paperback
Enterprise Excel Automation with VBA: Building Reporting Pipelines, Control Frameworks, and End-to-End Finance Workflows
Bisette, Vincent
Vale, Ethan
Paperback
VBA for Sales & CRM Professionals: Pipeline Automation, Forecasting, and Lead Management
Van Der Post, Hayden
Vale, Ethan
Paperback
Deep Dive into Vision-Language Models: Architecture, Training, and Practical Implementation
Vale, Ethan
Paperback
Full Stack Development with AI Frameworks: Build modern intelligent applications using the latest toolsets
Vale, Ethan
Paperback
Power Query and VBA Mastery for Business Intelligence: Building Automated Dashboards, ETL Pipelines, and Interactive Reporting Systems
Vale, Ethan
Van Der Post, Hayden
Paperback
Also in
Programming
Interactive Theorem Proving and Program Development: Coq'art: The Calculus of Inductive Constructions
Bertot, Yves
Castéran, Pierre
Hardcover
Seven Databases in Seven Weeks: A Guide to Modern Databases and the Nosql Movement
Perkins, Luc
Redmond, Eric
Wilson, Jim
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Collector's Edition
Piggyback
Hardcover
Python Crash Course, 3rd Edition: A Hands-On, Project-Based Introduction to Programming
Matthes, Eric
Paperback
Crisis Engineering: Time-Tested Tools for Turning Chaos Into Clarity
Weaver, Matthew
Dickerson, Mikey
Nitze, Marina
Paperback
Vibe Coding: Building Production-Grade Software with Genai, Chat, Agents, and Beyond
Kim, Gene
Yegge, Steve
Paperback
Accelerate: The Science of Lean Software and DevOps: Building and Scaling High Performing Technology Organizations
Forsgren Phd, Nicole
Humble, Jez
Kim, Gene
Paperback
The Legend of Zelda(tm) Tears of the Kingdom - The Complete Official Guide: Standard Edition
Piggyback
Paperback
Embedded Systems with ARM Cortex-M Microcontrollers in Assembly Language and C: Fourth Edition
Zhu, Yifeng
Paperback
Fundamentals of Software Architecture: A Modern Engineering Approach
Ford, Neal
Richards, Mark
Paperback
I Have an App Idea: The Essential Guide to Building an App Without Tech Skills
Spann, Amanda
Paperback
AI Projects with Raspberry Pi: High-Performance Artificial Intelligence for Robotics, Security, Home Automation, and Vision
Hattersley, Lucy
Jepson, Brian
Paperback
The Manager's Path: A Guide for Tech Leaders Navigating Growth and Change
Fournier, Camille
Paperback
Make: Electronics: Learning by Discovery: A Hands-On Primer for the New Electronics Enthusiast
Platt, Charles
Paperback
The Devops Handbook, 2nd Edition: How to Create World-Class Agility, Reliability, & Security in Technology Organizations
Kim, Gene
Humble, Jez
Debois, Patrick
Paperback
Building Applications with AI Agents: Designing and Implementing Multiagent Systems
Albada, Michael
Paperback
Cracking the Coding Interview: 189 Programming Questions and Solutions
McDowell, Gayle Laakmann
Paperback
The Developer's Guide to AI: A Field Guide for the Working Developer
Reghunadh, Jerry M.
Thompson, Danny
Orshalick, Jacob
Paperback
Learning Web Design: A Beginner's Guide to Html, Css, Javascript, and Web Images
Robbins, Jennifer
Paperback
The New AI Cold War: Liberty vs. Tyranny in the Age of Machine Empires
Maginnis, Ltc Robert L.
Paperback
The Staff Engineer's Path: A Guide for Individual Contributors Navigating Growth and Change
Reilly, Tanya
Paperback
Software Architecture: The Hard Parts: Modern Trade-Off Analyses for Distributed Architectures
Richards, Mark
Sadalage, Pramod
Ford, Neal
Paperback
The Official Raspberry Pi Handbook 2026: Astounding Projects with Raspberry Pi Computers
Makers of Raspberry Pi Official Magazine, The
Paperback
Linux Basics for Hackers, 2nd Edition: Getting Started with Networking, Scripting, and Security in Kali
Occupytheweb
Paperback
SQL QuickStart Guide: The Simplified Beginner's Guide to Managing, Analyzing, and Manipulating Data With SQL
Shields, Walter
Hardcover
The Pragmatic Programmer: Your Journey to Mastery, 20th Anniversary Edition
Thomas, David
Hunt, Andrew
Hardcover
Generative AI Design Patterns: Solutions to Common Challenges When Building Genai Agents and Applications
Lakshmanan, Valliappa
Hapke, Hannes
Paperback
Head First Design Patterns: Building Extensible and Maintainable Object-Oriented Software
Freeman, Eric
Robson, Elisabeth
Paperback
Frictionless: 7 Steps to Remove Barriers, Unlock Value, and Outpace Your Competition in the AI Era
Noda, Abi
Forsgren, Nicole
Paperback
Forecasting: Principles and Practice, the Pythonic Way
Hyndman, Rob J.
Athanasopoulos, George
Paperback
The Return on AI: From Promise to Profit in the Age of Intelligent Business
Sawhney, Mohanbir
Mittal, Ashwin
Paperback
Observability Engineering: Achieving Production Excellence
Miranda, George
Majors, Charity
Fong-Jones, Liz
Paperback
Arduino Programming for Beginners: A Comprehensive Beginner's Guide to Learn the Realms of Arduino Programming from A-Z
Protosmith, Ada
Paperback
Building AI-Powered Products: The Essential Guide to AI and Genai Product Management
Nika, Marily
Paperback
Grokking Algorithms, Second Edition: An Illustrated Guide for Programmers and Other Curious People
Bhargava, Aditya Y.
Paperback
Concrete Mathematics: A Foundation for Computer Science
Graham, Ronald
Patashnik, Oren
Knuth, Donald
Hardcover
Debugging: The 9 Indispensable Rules for Finding Even the Most Elusive Software and Hardware Problems
Agans, David J.
Paperback
Learning Generative AI Tools for Excel: Speed Up Your Everyday Tasks with Microsoft Excel, Copilot, Chatgpt, and Beyond
Duca, Angelica Lo
Paperback
Learning Domain-Driven Design: Aligning Software Architecture and Business Strategy
Khononov, Vlad
Paperback
This Is Service Design Doing: Applying Service Design Thinking in the Real World
Lawrence, Adam
Hormess, Markus Edgar
Stickdorn, Marc
Paperback
Computer Science from Scratch: Building Interpreters, Art, Emulators and ML in Python
Kopec, David
Paperback
The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise
Hohpe, Gregor
Paperback
Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Pandey, Anand
Paperback
Software Engineering at Google: Lessons Learned from Programming Over Time
Winters, Titus
Manshreck, Tom
Wright, Hyrum
Paperback
Prompt Engineering for Llms: The Art and Science of Building Large Language Model-Based Applications
Berryman, John
Ziegler, Albert
Paperback
Learning Php, MySQL & JavaScript: A Step-By-Step Guide to Creating Dynamic Websites
Nixon, Robin
Paperback
Pro C# 10 with .Net 6: Foundational Principles and Practices in Programming
Japikse, Phil
Troelsen, Andrew
Paperback
Living a Jewish Life, Revised and Updated: Jewish Traditions, Customs, and Values for Today's Families
Diamant, Anita
Cooper, Howard
Paperback
Articulating Design Decisions: Communicate with Stakeholders, Keep Your Sanity, and Deliver the Best User Experience
Greever, Tom
Paperback
Kubernetes in Action, Second Edition: Deploying and Managing Containers and Cloud-Native Applications
Conner, Kevin
Luksa, Marko
Paperback
Adobe Photoshop, 2nd Edition: A Complete Course and Compendium of Features
Laskevitch, Stephen
Paperback
Spies, Lies, and Algorithms: The History and Future of American Intelligence
Zegart, Amy B.
Paperback
Site Reliability Engineering: How Google Runs Production Systems
Murphy, Niall Richard
Jones, Chris
Beyer, Betsy
Paperback
Ruined by Design: How Designers Destroyed the World, and What We Can Do to Fix It
Monteiro, Mike
Paperback