Author Description

Generative AI for Software Developers - Winning Strategies and Practical Tactics for AI-Powered Development "Generative AI for Software Developers" is an essential guide to mastering AI-driven development, helping engineers future-proof their careers. This book provides a structured, hands-on approach to understanding, implementing, and optimizing Generative AI tools and techniques in modern software engineering. Covering everything from AI-assisted coding and debugging to system design and deployment, this book equips developers with real-world applications and best practices to integrate AI into their workflows effectively. "A must-read for developers and architects looking to harness Generative AI for software innovation. It provides clear strategies, practical insights, and hands-on examples to master AI-powered development." - David Ping, Head of GenAI/ML Solutions Architecture, AWS "This book demystifies Generative AI and its role in modern software engineering. Whether you're a beginner or an experienced developer, this guide will help you integrate AI effectively into your workflow." - Mrinal Priyadarshi, Senior ML Software Engineer, Amazon "A hands-on guide that bridges theory and practice, helping developers move from experimenting with AI to building production-ready applications." - Luis Lopez, Senior Generative AI Engineer, Google Whether you're an aspiring AI developer or a seasoned software engineer or Solutions Architect, this book will help you navigate the future of software development with Generative AI. What's inside? Comprehensive Introduction to Generative AI for Developers Mastering AI-Powered Code Generation & Debugging Effective Strategies for AI-Driven Software Development Practical Guide to Prompt Engineering & AI Model Fine-Tuning Integrating AI into the Software Development Lifecycle (SDLC) Building Scalab