Building with Generative AI: The Developers guide to LLMs, LangChain, Agents, and Full-Stack AI Projects

Building with Generative AI: The Developers guide to LLMs, LangChain, Agents, and Full-Stack AI ProjectsGenerative AI is no longer experimental—it’s redefining how software is built, how decisions are made, and how developers interact with code, users, and knowledge. This book is your complete developer’s guide to mastering the generative AI stack from the ground up.Whether you're a software engineer, ML enthusiast, or technical founder, Build with Generative AI from Scratch will teach you exactly how to design, build, and deploy production-ready AI systems using modern tools like OpenAI, Claude, LLaMA, LangChain, Hugging Face, and FastAPI.You won’t just read about large language models—you’ll build with them across the full development cycle: from prompting and retrieval to tool orchestration, deployment, and real-world integration.What You’ll LearnThe foundational principles behind generative AI: tokenization, embeddings, transformers, attention, and samplingHow to choose between API-based models (like Claude and GPT) vs local models (like LLaMA, Mistral, Falcon)Design patterns for retrieval-augmented generation (RAG), vector search, and memory-aware systemsHow to engineer robust prompts using system instructions, few-shot learning, and chain-of-thought reasoningOrchestrating multi-tool AI agents with planning, memory, and function executionStructuring safe and validated tool APIs with schema control, retry logic, and error handlingBuilding intelligent UIs and backends using FastAPI, LangServe, Streamlit, and DockerReal-world end-to-end projects, including private chatbots, research agents, summarization tools, and PDF QA systemsWhat Makes This Book DifferentReal-World Focus – Every topic is explained with clarity and implemented using modern, battle-tested tools. No hype, no filler, just practical knowledge you can apply today.Full-Stack Perspective – From prompt design and LLM selection to infrastructure and frontend delivery, you'll learn how to build and ship AI-powered applications end to end.Built for Developers – Clear, technical, and modern. Written by a best-selling author and AI systems architect who understands the needs of real software teams.Project-Based Learning – You'll apply each concept through full-stack AI projects that mirror real-world use cases.Who This Book Is ForBeginner to Intermediate Developers looking to transition into AI development using Python and modern frameworksExperienced Engineers wanting to integrate LLMs, RAG, and agents into production systemsStartup Builders and Technical Founders exploring how to ship powerful AI features fasterResearchers and Analysts needing structured pipelines for knowledge retrieval, summarization, or code generationEducators and Students seeking a solid, hands-on understanding of today’s generative AI ecosystemNo prior experience with transformers, machine learning, or AI tools is required. You’ll start from first principles and progressively build toward advanced systems with clarity and confidence.Why This Book Matters NowGenerative AI is transforming software at every layer—from user interfaces to infrastructure, from content generation to autonomous decision-making. Those who understand how to build with it will lead the next decade of innovation. This book gives you the foundation, the tools, and the strategic clarity to do just that.If you're ready to go beyond the hype and start building with generative AI—this book is your blueprint. Read more