Don't miss our holiday offer - up to 50% OFF!
Generative AI for Software Developers: Future-Proof Your Career with AI-Powered Development and Practical Hands-On Skills
Price:
(as of Mar 24, 2025 22:47:14 UTC – Details)
Generative AI for Software Developers — Winning Strategies and Practical Tactics for AI-Powered Development
“Generative AI for Software Developers” is an essential guide to mastering AI-driven development, helping engineers future-proof their careers. This book provides a structured, hands-on approach to understanding, implementing, and optimizing Generative AI tools and techniques in modern software engineering. Covering everything from AI-assisted coding and debugging to system design and deployment, this book equips developers with real-world applications and best practices to integrate AI into their workflows effectively.
“A must-read for developers and architects looking to harness Generative AI for software innovation. It provides clear strategies, practical insights, and hands-on examples to master AI-powered development.” — David Ping, Head of GenAI/ML Solutions Architecture, AWS
“This book demystifies Generative AI and its role in modern software engineering. Whether you’re a beginner or an experienced developer, this guide will help you integrate AI effectively into your workflow.” — Mrinal Priyadarshi, Senior ML Software Engineer, Amazon
“A hands-on guide that bridges theory and practice, helping developers move from experimenting with AI to building production-ready applications.” — Luis Lopez, Senior Generative AI Engineer, Google
Whether you’re an aspiring AI developer or a seasoned software engineer or Solutions Architect, this book will help you navigate the future of software development with Generative AI.
What’s inside?
✔ Comprehensive Introduction to Generative AI for Developers
✔ Mastering AI-Powered Code Generation & Debugging
✔ Effective Strategies for AI-Driven Software Development
✔ Practical Guide to Prompt Engineering & AI Model Fine-Tuning
✔ Integrating AI into the Software Development Lifecycle (SDLC)
✔ Building Scalable AI-Powered Applications for Real-World Use Cases
Who is this book for
This book is designed for software developers, engineers, architects, and tech professionals who want to:Understand the core concepts behind Generative AI and its real-world applications.Master AI-driven development workflows to improve efficiency and code quality.Use tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.Apply AI techniques for debugging, documentation, testing, and deployment.Learn prompt engineering and fine-tuning strategies for optimizing AI outputs.Architect scalable AI-driven applications with well-defined best practices.Why This Book Matters Now
The software industry is evolving faster than ever, and developers who understand AI-driven development will have a competitive edge in the job market. Whether you are looking to stay ahead in your current role, enhance your coding efficiency, or explore new career opportunities in AI-driven development, this book will guide you on your journey.
Generative AI isn’t replacing developers—it’s empowering them.
Book Outline:
Chapter 1 — The Art and Science of Generative AI
Chapter 2 — Getting Started with Generative AI
Chapter 3 — Generative AI Architecture Fundamentals
Chapter 4 — Generative AI in Software Development
Chapter 5 — Prompt Engineering for Software Developers
Chapter 6 — Integrating Generative AI into the Software Development Cycle
Chapter 7 — Generative AI for Specific Programming Tasks
Chapter 8 — Generative AI Application Architecture & Design
Chapter 9 — Reinforcement Learning and Agentic AI Architecture
Chapter 10 — Well-Architecting and Fine-Tuning Generative AI Applications
Chapter 11 — Hands-On Guide to Building a Generative AI Application
ASIN : B0DYZV9X9N
Publisher : Independently published (March 1, 2025)
Language : English
Paperback : 432 pages
ISBN-13 : 979-8312543698
Item Weight : 1.63 pounds
Dimensions : 7.5 x 0.98 x 9.25 inches
Customers say
Customers find the book practical and helpful for integrating AI tools effectively. They appreciate its technical depth and how it enhances engineering workflows while ensuring scalability. The framework is well-architected and produces high-quality code.