Building Effective Agents with Microsoft Copilot Studio: From Conversational Copilots to Governed, Autonomous Agent Systems
暫譯: 使用 Microsoft Copilot Studio 建構高效能代理程式：從對話式 Copilot 到受治理的自主代理程式系統

Tempesta, Stefano

Building Effective Agents with Microsoft Copilot Studio: From Conversational Copilots to Governed, Autonomous Agent Systems
  • 出版商: Apress
  • 出版日期: 2026-10-24
  • 售價: $2,020
  • 貴賓價: 9.5 折 $1,919
  • 語言: 英文
  • 頁數: 312
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9798868831492
  • ISBN-13: 9798868831492
  • 相關分類: Large language model

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

Microsoft Copilot Studio has evolved far beyond traditional chatbots, becoming a powerful platform for building intelligent AI agents that can retrieve knowledge, automate tasks, collaborate with other agents, and operate under enterprise governance. Building Effective Agents with Microsoft Copilot Studio takes you on a practical, end-to-end journey through the modern agent development lifecycle, helping you design, build, deploy, and manage production-ready agents that deliver real business value. Using a realistic business scenario that grows throughout the book, you'll learn not only how the platform works, but also how to apply it effectively in real-world environments.

Beginning with the foundations of Microsoft's agent ecosystem, you'll explore agent planning, conversational design, knowledge grounding, topics, entities, variables, tools, actions, and integrations with enterprise systems. As your skills grow, you'll dive into generative orchestration, autonomous and multi-agent systems, publishing agents across Microsoft Teams, Microsoft 365 Copilot, web, and voice channels, and extending capabilities through Power Automate, APIs, connectors, and external services. Along the way, you'll gain hands-on experience building increasingly sophisticated agents capable of reasoning, acting, and collaborating across business processes.

The book goes beyond basic implementation to cover the critical topics often overlooked in documentation, including testing and evaluation, analytics-driven improvement, security, governance, responsible AI, application lifecycle management, deployment pipelines, licensing, cost optimization, and operating agents at scale. By the end, you'll understand proven design patterns, avoid common pitfalls, and be equipped to build governed, enterprise-grade agent solutions that are ready for the next generation of AI-powered business applications.

What You Will Learn:

  • Advanced techniques for customizing Microsoft Copilot Studio to suit specific organizational needs. This includes creating custom commands, integrating with other digital tools, and optimizing the AI's responses to enhance user interaction and productivity.
  • How to leverage the predictive analytics and data interpretation capabilities of Microsoft Copilot Studio to make informed business decisions
  • Understand future trends in artificial intelligence and machine learning, providing you with the knowledge to adapt to and anticipate changes in technology
  • Understanding Copilot studio's core functionalities, interface, and how it integrates with existing software ecosystems

Who This Is Book For:

Microsoft 365 administrators, AI administrators and developers

商品描述(中文翻譯)

Microsoft Copilot Studio 已遠遠超越傳統聊天機器人的範疇，現已成為一個功能強大的平台，可用於建置能夠擷取知識、自動化工作、與其他代理程式協作，並在企業治理架構下運作的智慧型 AI 代理程式。《使用 Microsoft Copilot Studio 建置高效能代理程式》將帶領您實際走過現代代理程式開發生命週期的完整流程，協助您設計、建置、部署及管理能夠創造實際商業價值、可投入正式環境使用的代理程式。本書透過一個隨著內容逐步發展的真實商業情境，不僅教您了解平台的運作方式，也讓您學會如何在實際環境中有效應用這些功能。

本書從 Microsoft 代理程式生態系統的基礎開始，帶您探索代理程式規劃、對話設計、知識 grounding、主題、實體、變數、工具、動作，以及與企業系統的整合。隨著技能逐步提升，您將深入了解生成式協調（generative orchestration）、自主代理程式與多代理程式系統，並學習如何將代理程式發佈至 Microsoft Teams、Microsoft 365 Copilot、Web 及語音頻道，以及透過 Power Automate、API、連接器和外部服務擴充功能。在學習過程中，您將親自建置越來越複雜的代理程式，使其能夠在各種商業流程中進行推理、執行動作及彼此協作。

本書不僅涵蓋基本實作，也深入探討文件中經常被忽略的重要主題，包括測試與評估、以分析資料為基礎的改進、安全性、治理、負責任的 AI、應用程式生命週期管理、部署管線、授權、成本最佳化，以及大規模運作代理程式。讀完本書後，您將了解經過驗證的設計模式，避開常見陷阱，並具備建置受治理、符合企業等級需求之代理程式解決方案的能力，為下一代 AI 驅動的商業應用程式做好準備。

您將學會：

• 用於自訂 Microsoft Copilot Studio 以符合特定組織需求的進階技術，包括建立自訂命令、與其他數位工具整合，以及最佳化 AI 的回應，以提升使用者互動與生產力。

• 如何運用 Microsoft Copilot Studio 的預測分析與資料解讀能力，做出更有依據的商業決策。

• 了解人工智慧與機器學習的未來趨勢，掌握適應及預測技術變化所需的知識。

• 了解 Copilot Studio 的核心功能與介面，以及它如何與現有的軟體生態系統整合。

適合讀者：

Microsoft 365 管理員、AI 管理員及開發人員。

作者簡介

Stefano Tempesta is a technologist working at the crossroad of Web2 and Web3, to make the Internet a more accessible, meaningful, and inclusive space. Stefano is an ambassador of the use of AI and blockchain technologies for good humanitarian purposes. A former advisor to the Department of Industry and Science, Australia, on the National Blockchain Roadmap, he is co-founder of Aetlas Protocol, a climate fintech integrating blockchain contracts into fully digitised green bonds, simplifying and automating project financing for carbon removal infrastructure.

作者簡介(中文翻譯)

Stefano Tempesta 是一位致力於 Web2 與 Web3 交會領域的技術專家，旨在讓網際網路成為更容易存取、更具意義且更包容的空間。Stefano 積極倡導將 AI 與 blockchain 技術運用於人道公益。

他曾擔任澳洲工業與科學部（Department of Industry and Science）國家 Blockchain 路線圖（National Blockchain Roadmap）顧問，目前是 Aetlas Protocol 的共同創辦人。Aetlas Protocol 是一家氣候金融科技公司，將 blockchain 合約整合至完全數位化的綠色債券中，簡化並自動化碳移除基礎設施的專案融資。

類似商品

最後瀏覽商品 (5)