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Full Description
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 DescriptionGenerative 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 forThis 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.
Contents
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
