Large Language Models From Foundations to Production AI Applications

Large Language Models: From Foundations to Production AI Applications
English | June 11, 2026 | ASIN: B0H4XDFM5N | 685 pages | Epub | 66.49 MB
Large Language Models: From Foundations to Production AI ApplicationsLearn how to build real-world AI applications with Large Language Models-from foundational concepts to production deployment.Large Language Models (LLMs) such as GPT, Claude, Gemini, Llama, Mistral, and DeepSeek are transforming software development, business automation, search, content generation, and enterprise AI. Organizations are rapidly adopting these technologies, creating strong demand for professionals who understand how to build, deploy, and manage AI-powered solutions.This practical, hands-on guide provides a complete learning path for mastering modern LLMs and Generative AI. Rather than focusing only on theory, the book emphasizes real-world implementation, architecture patterns, best practices, and production-ready applications.What You'll LearnFoundations of AI, Machine Learning, Deep Learning, and Generative AIHow Large Language Models work, including tokenization, embeddings, attention, and transformer architecturePopular models including GPT, Claude, Gemini, Llama, Mistral, and DeepSeekPrompt engineering techniques for reliable AI applicationsRetrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic searchFine-tuning with LoRA, QLoRA, PEFT, and quantizationRunning local LLMs using OllamaBuilding AI chatbots, enterprise knowledge assistants, and content-generation applicationsLLM evaluation, security, governance, and responsible AI practicesProduction deployment, monitoring, optimization, and scaling strategiesHands-On ProjectsBuild complete end-to-end AI solutions, including:AI Chatbot using modern LLM APIs and prompt engineeringEnterprise Knowledge Assistant powered by RAG and vector searchLocal AI Assistant using Ollama, local LLMs, and a custom knowledge baseSource Code IncludedCode examples, labs, and project source code are available through a dedicated GitHub repository, allowing you to follow along and build the solutions yourself.Who Should Read This Book?This book is ideal for software developers, data engineers, machine learning engineers, data scientists, cloud engineers, solution architects, technology leaders, students, educators, and AI enthusiasts who want practical skills for building AI-powered applications.Whether you're exploring Generative AI for the first time or looking to deploy production-grade AI systems, this book provides the knowledge, hands-on experience, and practical guidance needed to succeed.Master the technologies behind today's AI revolution and start building intelligent applications with Large Language Models.