Building LLM Applications: A developer's guide to creating intelligent Ai systems

Book Description:
What if you could build intelligent applications powered by the world's most advanced language models-without being a machine learning expert?
Welcome to Building LLM Applications, the essential developer's guide to harnessing the power of large language models (LLMs) like GPT-4, Claude, and LLaMA to create real-world, production-ready AI systems.
This hands-on book demystifies the core concepts behind LLMs and walks you through building prompt-driven tools, retrieval-augmented generation (RAG) systems, agentic workflows, and fully orchestrated AI pipelines. Whether you're a seasoned backend engineer or a curious front-end developer, this book gives you the clarity, patterns, and confidence to go from zero to production-fast.
You'll learn how to:
Build with the latest LLM frameworks (LangChain, LangGraph, OpenAgents)
Use vector databases like Pinecone and Chroma to supercharge retrieval
Design agents with planning, memory, and tool use
Deploy your applications on modern platforms like LangServe, Hugging Face, and Vercel
Handle safety, security, and ethical considerations in production
Unlike theory-heavy AI texts, this book is crafted with developers in mind-packed with code, projects, and field-tested best practices from real-world deployments. You'll not only understand LLMs, but also build with them confidently.
This is not just a book it's a launchpad. Whether you're building your career, your startup, or your next AI-powered side project, Building LLM Applications will equip you with everything you need to succeed in this fast-moving landscape.