Large Language Models: From Foundations to Production AI Applications

Large Language Models: From Foundations to Production AI Applications

Learn 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 Learn

• Foundations of AI, Machine Learning, Deep Learning, and Generative AI
• How Large Language Models work, including tokenization, embeddings, attention, and transformer architecture
• Popular models including GPT, Claude, Gemini, Llama, Mistral, and DeepSeek
• Prompt engineering techniques for reliable AI applications
• Retrieval-Augmented Generation (RAG), embeddings, vector databases, and semantic search
• Fine-tuning with LoRA, QLoRA, PEFT, and quantization
• Running local LLMs using Ollama
• Building AI chatbots, enterprise knowledge assistants, and content-generation applications
• LLM evaluation, security, governance, and responsible AI practices
• Production deployment, monitoring, optimization, and scaling strategies

Hands-On Projects

• Build complete end-to-end AI solutions, including:
• AI Chatbot using modern LLM APIs and prompt engineering
• Enterprise Knowledge Assistant powered by RAG and vector search
• Local AI Assistant using Ollama, local LLMs, and a custom knowledge base

Source Code Included

Code 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.