Generative AI for Software Developers

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 a technology leader and recognized expert in Generative and Agentic AI at Amazon Web Services. He empowers enterprise leaders to operationalize artificial intelligence at a global scale. A dedicated advocate for technical education and community engagement, he regularly shares industry insights through his public blogs. He is the coauthor of Generative AI for Software Developers and Interview Guide for Solution Architects, providing practical guidance for engineering and leadership teams navigating the complexities of modern software design. 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 ContentsThe Art and Science of Generative AIGetting Started with Generative AIGenerative AI Architecture FundamentalsGenerative AI in Software DevelopmentPrompt Engineering for Software DevelopersIntegrating Generative AI into the Software Development CycleEthical and Security Best Practices in Generative AIGenerative AI Application Architecture and DesignReinforcement Learning and AI Agent Architecture DesignWell-Architecting and Fine-tuning GenAI ApplicationBuilding a GenAI App from Prototype to Production