Generative AI for Software Developers
Packt Publishing Limited (Verlag)
978-1-80667-119-9 (ISBN)
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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.
Saurabh Shrivastava is an accomplished technology leader and author with more than two decades of experience in the IT industry. He is currently a global solutions architect leader at AWS, where he helps AWS customers and partners on their cloud journeys. Saurabh has also led the global technical partnerships team at AWS, playing a key role in launching several strategic initiatives and AWS agentic AI services. In addition to his work at AWS, Saurabh is the co-author of Packt's best-selling book Solutions Architect's Handbook, and has authored several blogs and whitepapers on various topics, such as advanced analytics, generative AI, machine learning, and cloud computing. He is passionate about the latest innovations and how they can impact our daily lives. Saurabh holds a patent in cloud platform automation and has worked as an enterprise solutions architect, software architect, and software engineering manager in Fortune 50 enterprises, start-ups, and global product and consulting organizations. With his vast experience and expertise, Saurabh is a valuable resource for anyone looking to learn about cloud computing and its various applications. Kamal Arora is an inventor, author, and technology leader with more than 15 years of IT experience. He currently works at Amazon Web Services and leads a diverse team of highly experienced solutions architects who enable global consulting partners and enterprise customers on their journey to cloud. Kamal has also led the creation of biggest global technical partnerships, set his team's vision and execution model, and incubated multiple new strategic initiatives. He's passionate about the latest innovations in the cloud and the AI/ML space, and their impact on our society and daily-life. Ashutosh Dubey is an accomplished software technologist and Technical Leader at Amazon Web Services. He specializes in the architecture of Generative AI solutions. With a rich software development and data engineering background, he architects enterprise-scale AI solutions that bridge innovation with practical implementation. A respected voice in the tech community, he regularly contributes to industry discourse through speaking engagements and thought leadership on data engineering, Generative AI applications, and ethical AI practices. Dhiraj Thakur currently works at Amazon Web Services (AWS) as a global solutions architect, enabling AWS partners and customers on their journey to the cloud. With a passion for innovation, Dhiraj has dedicated his career to exploring the latest advancements in technology and their impact on society and daily life. He has authored several books, whitepapers, and blog posts. With a robust background in AI/ ML, GenAI, data analytics, IoT, SAP, cloud technology, and application development, Dhiraj has helped numerous enterprise and public sector clients across various industries. His work has been widely recognized and respected in the industry, and he is a sought-after speaker and thought leader in the field of technology. Sanjeet Sahay is the founder and CEO of LeaderHub. This platform offers career-boosting, interview-crushing guidance for technologists and the author of The No-BS Guide to Beating Burnout, which exposes burnout's staggering $300B annual cost to businesses. A former Amazon Engineering and Solution Architecture Leader (2014-2024), Sanjeet led teams impacting multi-billion dollar revenues. He pioneered Machine and Deep Learning resources for AWS partners, securing multi-million dollar wins. Additionally, Sanjeet has developed innovative Generative AI applications that empower students and job seekers globally.
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
| Erscheinungsdatum | 30.10.2025 |
|---|---|
| Verlagsort | Birmingham |
| Sprache | englisch |
| Maße | 191 x 235 mm |
| Themenwelt | Informatik ► Betriebssysteme / Server ► Windows |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-80667-119-0 / 1806671190 |
| ISBN-13 | 978-1-80667-119-9 / 9781806671199 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
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