Agent engineering microsoft foundry de scott daniel (5 resultados)
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Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de AmericaPBShop.store US
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EUR 27,36
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PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
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EUR 25,22
Envío por EUR 4,86Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: Más de 20 disponibles
PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH
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EUR 33,00
Envío por EUR 61,84Se envía de Alemania a Estados Unidos de AmericaCantidad disponible: 2 disponibles
Taschenbuch. Condición: Neu. Neuware - Most teams don't fail at AI because they lack models-they fail because they cannot turn models into reliable, scalable autonomous systems that actually run real business operations. Building agents that can reason, use tools, coordinate workflows, and operate safely inside enterprise enviro…nments is where most projects break down.AI Agent Engineering with Microsoft Foundry delivers a practical, systems-first approach to solving this gap. It shows you how to design and deploy autonomous AI agents that move beyond chat interfaces and become fully functional enterprise execution systems. Using Microsoft Foundry as the foundation, the book explains how to build agent architectures that connect tools, manage workflows, maintain context, and operate with production-grade reliability at scale.Inside, you will learn how to design AI agents that are not just intelligent, but operationally sound. You will gain the ability to: - Architect autonomous agents that plan, reason, and execute multi-step workflows- Integrate enterprise tools, APIs, and business systems into agent pipelines- Build reliable multi-agent systems that coordinate tasks across complex environments- Implement memory, context management, and retrieval systems for grounded decision-making- Apply guardrails, governance, and safety constraints for production deployment- Optimize performance, latency, and cost in large-scale AI systems- Design observability, logging, and debugging systems for agent-driven workflows- Deploy and scale AI agents in enterprise environments using Microsoft FoundryRather than focusing on isolated model capabilities, this book trains you to think like an AI systems engineer-someone who understands how intelligence becomes infrastructure inside modern organizations.If you are ready to move beyond experimental AI prototypes and build autonomous systems that can support real business operations at scale, this book is your practical blueprint.
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Librería: California Books, Miami, FL, Estados Unidos de AmericaCalifornia Books
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EUR 24,02
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Condición: New. Print on Demand.
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Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
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EUR 28,89
Envío por EUR 43,26Se envía de Reino Unido a Estados Unidos de AmericaCantidad disponible: 1 disponibles
Paperback. Condición: new. Paperback. Most teams don't fail at AI because they lack models-they fail because they cannot turn models into reliable, scalable autonomous systems that actually run real business operations. Building agents that can reason, use tools, coordinate workflows, and operate safely inside enterprise environ…ments is where most projects break down.AI Agent Engineering with Microsoft Foundry delivers a practical, systems-first approach to solving this gap. It shows you how to design and deploy autonomous AI agents that move beyond chat interfaces and become fully functional enterprise execution systems. Using Microsoft Foundry as the foundation, the book explains how to build agent architectures that connect tools, manage workflows, maintain context, and operate with production-grade reliability at scale.Inside, you will learn how to design AI agents that are not just intelligent, but operationally sound. You will gain the ability to: Architect autonomous agents that plan, reason, and execute multi-step workflowsIntegrate enterprise tools, APIs, and business systems into agent pipelinesBuild reliable multi-agent systems that coordinate tasks across complex environmentsImplement memory, context management, and retrieval systems for grounded decision-makingApply guardrails, governance, and safety constraints for production deploymentOptimize performance, latency, and cost in large-scale AI systemsDesign observability, logging, and debugging systems for agent-driven workflowsDeploy and scale AI agents in enterprise environments using Microsoft FoundryRather than focusing on isolated model capabilities, this book trains you to think like an AI systems engineer-someone who understands how intelligence becomes infrastructure inside modern organizations.If you are ready to move beyond experimental AI prototypes and build autonomous systems that can support real business operations at scale, this book is your practical blueprint. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
