Master Generative AI in software development with hands-on guidance, from coding and debugging to testing and deployment, using GitHub Copilot, Amazon Q Developer, and OpenAI APIs to build scalable, AI-powered applications
Key Features:
- Hands-on guidance for mastering AI-powered coding, debugging, and deployment with real-world examples
- Comprehensive coverage of GenAI concepts, prompt engineering, fine-tuning, and SDLC integration
- Practical strategies for architecting and scaling production-ready AI-driven applications
Book Description:
Generative AI for Software Developers is your practical guide to mastering AI-powered development and staying ahead in a fast-changing industry. Through a structured, hands-on approach, this book helps you understand, implement, and optimize Generative AI in modern software engineering. From AI-assisted coding, debugging, and documentation to testing, deployment, and system design, it equips you with the skills to integrate AI seamlessly into your workflows.
You'll work with tools such as GitHub Copilot, Amazon Q Developer, and OpenAI APIs while learning strategies for prompt engineering, fine-tuning, and building scalable AI-powered applications. Featuring real-world use cases, best practices, and expert insights, this book bridges the gap between experimenting with AI and production deployment.
Whether you're an aspiring AI developer, experienced engineer, or solutions architect, this guide gives you the clarity, confidence, and tactical knowledge to thrive in the GenAI-driven future of software development. Armed with these insights, you'll be ready to build, integrate, and scale intelligent solutions that enhance every stage of the software development lifecycle.
What You Will Learn:
- Build a secure GenAI application with expert guidance
- Understand the fundamentals of GenAI and its applications in software engineering
- Automate coding tasks with tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs
- Apply AI for debugging, testing, documentation, and deployment workflows
- Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs
- Implement best practices for architecting and scaling AI-powered applications
- Build end-to-end GenAI projects, moving from experimentation to production
Who this book is for:
This book is for software developers, engineers, architects, and tech professionals who want to understand the core concepts of Generative AI and its real-world applications, master AI-driven development workflows to improve efficiency and code quality, and leverage tools like GitHub Copilot, Amazon Q Developer, and OpenAI APIs to automate coding tasks.
Table of Contents
- The Art and Science of Generative AI
- Getting Started with Generative AI
- Generative AI Architecture Fundamentals
- Generative AI in Software Development
- Prompt Engineering for Software Developers
- Integrating Generative AI into the Software Development Cycle
- Generative AI for Specific Programming Tasks
- Generative AI Application Architecture & Design
- Reinforcement Learning and Agentic AI Architecture
- Well-Architecting and Fine-Tuning Generative AI Applications
- Hands-On Guide to Building a Generative AI Application
