Mastering Llms & Prompt Engineering: Design, Build, and Optimize Generative AI Workflows with Real-World Prompts, Rag, and Agentic Systems

By: Tech, Robertto

The future of AI doesn't belong to those who merely use ChatGPT-it belongs to those who understand, design, and engineer its intelligence. In this groundbreaking guide, Robertto Tech, a senior AI systems engineer with over a decade of hands-on experience, reveals how to architect, optimize, and scale Large Language Model (LLM) systems for production environments.

Built for developers, data scientists, and applied AI innovators, this book goes beyond surface-level prompting to show you how real-world generative AI pipelines are designed and deployed-from foundational transformers to RAG (Retrieval-Augmented Generation) and agentic frameworks.

You'll discover how to build robust systems that reason, retrieve, and respond with human-like intelligence. Every chapter combines technical precision with actionable insight-bridging deep theory, modern frameworks like LangChain, LangGraph, and vector databases, and enterprise-grade deployment strategies.

• Format: Paperback
• Language: English
• ISBN: B0FZBS2C6X
• ISBN13: 9798272769404
• Release Date: November 2025
• Publisher: Independently Published
• Length: 168 Pages
• Weight: 0.44 lbs.
• Dimensions: 0.4" x 5.5" x 8.5"