Computer Use Agent

Build production-grade RAG systems in C# — from an 80-line Hello World to a fully deployed Azure pipeline with the Microsoft Agent Framework, MCP, GraphRAG, multi-agent orchestration, eval gates, and EU AI Act-ready audit trails. 668 pages, 25 chapters, one evolving enterprise project, every line of code runnable in .NET 10.

Master automated workflows for your Python code with GitHub Actions for Python Projects. This practical guide covers automated testing, dependency management, coverage reports, documentation builds, and artifact generation to help you build reliable CI/CD pipelines effortlessly.

La IA agéntica ya no es el futuro. Es el motor de la transformación hoy.¿Qué pasaría si la inteligencia artificial pudiera percibir, razonar, planificar, aprender y actuar para resolver problemas reales de tu organización?La IA Agéntica Aplicada a la Transformación Empresarial y Gubernamental te lleva de los fundamentos a la implementación, explorando arquitecturas, patrones de diseño, memoria, RAG, sistemas multiagente, herramientas, casos reales y gobernanza.Una guía para quienes quieren dejar de experimentar con IA y comenzar a construir agentes que trabajen, decidan y generen valor.De la teoría a la práctica. De la automatización a la transformación.

Domine a arquitetura de sistemas de IA autônomos. Um guia completo cobrindo motores de raciocínio, memória de longo prazo, orquestração multiagentes, otimização de custos e o Model Context Protocol (MCP). O livro definitivo para arquitetos e desenvolvedores.

Vectors, embeddings, retrieval, agents, and evaluation are all built from first principles inside the chapter that needs them. No mathematics. No machine learning background. No prior AI experience and no framework knowledge is required. We build with plain Python and small, single-purpose libraries.  

Go beyond using AI tools—learn to build AI solutions. AI Generalist Engineer is a practical guide for software engineers, architects, and technology leaders to master enterprise AI, AI agents, RAG, MCP, prompt engineering, orchestration, and modern AI architecture. Build the skills to design, integrate, and lead AI-powered systems with confidence.

This book is a workshop where things go wrong on the page, in front of you, and then get fixed in code, with the output that proves the fix worked. There's no need to be a security expert to follow along. We'll be moving from the interpreter to the supply chain, from the token to the human clicking Allow, and from a single tool to a whole host of untrusting servers.

Build AI agents that can see screens, reason about tasks and control desktop applications and web browsers. Starting with a simple prototype, you'll learn how to create reliable production-ready systems that do real work on a computer.

I strongly recommend this book to developers, platform engineers, and technical architects who work with Microsoft 365. These professionals will learn to integrate AI-assisted workflows into existing business processes without unnecessary complexity.