Generative AI for Software Developers
Future-Proof Your Career with AI-Powered Development and Practical Hands-On Skills
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to Cart failed.
Please try again later
Add to Wish List failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Please try again
Unfollow podcast failed
Please try again
LIMITED TIME OFFER
3 months free
Offer ends July 31, 2025 at 11:59PM PT.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 3 months. Cancel anytime.
Generative AI for Software Developers
Narrated by:
Virtual Voice
Buy for $14.99
No default payment method selected.
We are sorry. We are not allowed to sell this product with the selected payment method
Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use, License, and Amazon's Privacy Notice. Taxes where applicable.
-
Narrated by:
-
Virtual Voice
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
About this listen
"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
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.
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
adbl_web_global_use_to_activate_webcro805_stickypopup
No reviews yet