Generative AI On Microsoft Azure From Large Language Models To Advanced Multi Agent Systems

Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems

As organizations move generative AI applications from experimentation into production, the need for scalable, reliable, and intelligent AI architectures is growing rapidly. Modern enterprise AI solutions increasingly rely on advanced approaches such as large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and multi-agent systems.

Generative AI on Microsoft Azure: From Large Language Models to Advanced Multi-Agent Systems by Adrián González Sánchez is a practical guide to designing, building, and deploying production-ready generative AI solutions on Microsoft Azure.

Written for AI professionals, developers, architects, and technology leaders, the book goes beyond the fundamentals of working with language models. It explores the principles, tools, architectures, and engineering practices required to build trustworthy and scalable AI systems using Microsoft's Azure ecosystem.

Readers will learn about essential topics such as prompt engineering, model fine-tuning, retrieval-augmented generation (RAG), large language models, agentic AI, and advanced multi-agent architectures. The book also explains how these technologies can be combined to create intelligent applications capable of working with enterprise data, external tools, workflows, and other autonomous AI agents.

Through practical examples, real-world case studies, and insights from experienced AI practitioners, the book demonstrates how organizations can move beyond simple AI prototypes and develop robust systems suitable for real production environments.

It also addresses some of the most important challenges involved in deploying enterprise generative AI, including model selection, AI architecture design, grounding models with organizational data, orchestrating multiple AI agents, improving reliability, and building systems whose behavior and outputs can be trusted.

Whether you are an AI engineer, software developer, cloud architect, data professional, or technology leader, Generative AI on Microsoft Azure provides a comprehensive roadmap for building modern AI applications within the Microsoft Azure ecosystem.

The book is especially valuable for readers who want to move beyond basic LLM applications and explore more advanced areas such as Azure-based RAG systems, AI agents, agentic workflows, multi-agent systems, and enterprise generative AI architectures.