Generative AI for Software Developers

<p><strong>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</strong></p><p><strong>Key Features:</strong></p><p>- Hands-on guidance for mastering AI-powered coding debugging and deployment with real-world examples</p><p>- Comprehensive coverage of GenAI concepts prompt engineering fine-tuning and SDLC integration</p><p>- Practical strategies for architecting and scaling production-ready AI-driven applications</p><p><strong>Book Description:</strong></p><p>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.</p><p>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.</p><p>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.</p><p><strong>What You Will Learn:</strong></p><p>- Build a secure GenAI application with expert guidance</p><p>- Understand the fundamentals of GenAI and its applications in software engineering</p><p>- Automate coding tasks with tools like GitHub Copilot Amazon Q Developer and OpenAI APIs</p><p>- Apply AI for debugging testing documentation and deployment workflows</p><p>- Get to grips with prompt engineering and fine-tuning techniques to optimize AI outputs</p><p>- Implement best practices for architecting and scaling AI-powered applications</p><p>- Build end-to-end GenAI projects moving from experimentation to production</p><p><strong>Who this book is for:</strong></p><p>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.</p><p><strong>Table of Contents</strong></p><p>- The Art and Science of Generative AI</p><p>- Getting Started with Generative AI</p><p>- Generative AI Architecture Fundamentals</p><p>- Generative AI in Software Development</p><p>- Prompt Engineering for Software Developers</p><p>- Integrating Generative AI into the Software Development Cycle</p><p>- Generative AI for Specific Programming Tasks</p><p>- Generative AI Application Architecture & Design</p><p>- Reinforcement Learning and Agentic AI Architecture</p><p>- Well-Architecting and Fine-Tuning Generative AI Applications</p><p>- Hands-On Guide to Building a Generative AI Application</p>