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Working as a software developer in a leading IT company, I constantly explore ways to enhance my skills and stay ahead in AI-driven development. Generative AI for Software Developers is a practical and insightful resource that provides hands-on knowledge on integrating LLMs, prompt engineering, and AI-assisted coding into real-world software projects.
The book covers enterprise-level AI adoption, making it particularly relevant for developers working in large IT firms handling AI-powered automation, cloud solutions, and application modernization. It provides a structured approach to AI integration in SDLC, discussing tools like Amazon Q Developer, OpenAI, and vector databases. The practical examples and GitHub repositories included are extremely helpful for hands-on learning. Whether you're working on client projects, AI-driven automation, or building scalable applications, this book offers valuable insights into how Generative AI can improve software development workflows.
Essential Guide for Software Developers in Large IT Firms
Working as a software developer in a leading IT company, I constantly explore ways to enhance my skills and stay ahead in AI-driven development. Generative AI for Software Developers is a practical and insightful resource that provides hands-on knowledge on integrating LLMs, prompt engineering, and AI-assisted coding into real-world software projects.
The book covers enterprise-level AI adoption, making it particularly relevant for developers working in large IT firms handling AI-powered automation, cloud solutions, and application modernization. It provides a structured approach to AI integration in SDLC, discussing tools like Amazon Q Developer, OpenAI, and vector databases. The practical examples and GitHub repositories included are extremely helpful for hands-on learning. Whether you're working on client projects, AI-driven automation, or building scalable applications, this book offers valuable insights into how Generative AI can improve software development workflows.