Building and Distributing Agentic AI Solutions: A Comprehensive Guide to Productizing AI
暫譯: 構建與分發自主型 AI 解決方案：產品化 AI 的全面指南
Soh, Julian, Tidwell, John, Singh, Priyanshi
相關主題
商品描述
Discover and navigate the essential tools and technologies that streamline the product-building journey, enabling you to bring your AI solution to the Azure marketplace faster and with greater impact.
This book begins with an overview of the AI and Generative AI landscape, covering the fundamentals of machine learning, data, and cost models. You will then go through market research essentials--validating ideas, analyzing competition, addressing ethical and compliance concerns, and framing pricing strategies. Further, you will delve into the practical steps of designing and building an AI-first product on Azure. Here, you will explore key design considerations such as responsible AI, domain-specific data, multi-modal interfaces, and protecting intellectual property. With hands-on insights into Azure OpenAI, Copilot Studio, and AI Foundry, the book walks through building, packaging, and operationalizing AI services. Finally, it covers the path to market--publishing on the Azure Marketplace, executing a go-to-market strategy, partnering with Microsoft, and scaling for global adoption.
What You Will Learn:
- - The latest AI technologies from Microsoft and Open Source partners - Foundational concepts when designing agents and Knowledge Sources - Cost analysis and pricing strategies for AI products - Prototyping and integration with Microsoft Copilot Studio - the UI for AI - Deep dive into modern agentic technologies such as MCP, multi-agent collaboration, and orchestration framework patterns - Hands-on exercises with code samples and fully working concepts - Understanding Azure Marketplace requirements - Publishing to Azure Marketplace and Copilot Studio Marketplace
Who This Book Is For:
Project managers, software engineers, and Independent Software Vendors (ISVs)
商品描述(中文翻譯)
發現並導航那些能夠簡化產品建構過程的基本工具和技術，使您能夠更快且更具影響力地將您的 AI 解決方案推向 Azure 市場。
本書首先概述了 AI 和生成式 AI 的全景，涵蓋機器學習、數據和成本模型的基本概念。接著，您將學習市場研究的基本要素——驗證想法、分析競爭、解決倫理和合規問題，以及制定定價策略。此外，您將深入了解在 Azure 上設計和建構以 AI 為首的產品的實際步驟。在這裡，您將探索關鍵設計考量，例如負責任的 AI、特定領域的數據、多模態介面以及保護知識產權。透過對 Azure OpenAI、Copilot Studio 和 AI Foundry 的實務見解，本書將指導您如何建構、打包和運營 AI 服務。最後，它將涵蓋市場路徑——在 Azure Marketplace 上發佈、執行市場進入策略、與 Microsoft 合作以及為全球採用擴展。
您將學到的內容：
- 微軟和開源合作夥伴的最新 AI 技術
- 設計代理和知識來源的基本概念
- AI 產品的成本分析和定價策略
- 與 Microsoft Copilot Studio 的原型設計和整合 - AI 的用戶介面
- 深入探討現代代理技術，如 MCP、多代理協作和編排框架模式
- 包含程式碼範例和完整運作概念的實作練習
- 理解 Azure Marketplace 的要求
- 在 Azure Marketplace 和 Copilot Studio Marketplace 上發佈
本書適合的讀者：
項目經理、軟體工程師和獨立軟體供應商 (ISVs)
作者簡介
Julian Soh is a software engineer and a cloud architect with Microsoft, focusing in the areas of artificial intelligence and advanced analytics for independent software vendors (ISVs) who develop software solutions based on the Microsoft technology stack. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations.
John Tidwell is Chief Technology Officer at YoungWilliams, where he leads a team responsible for the ongoing design, development, and deployment of Priya(TM) an innovative AI-driven government service solution which leverages Microsoft Azure's AI platform. With expertise in Azure cloud technologies, generative AI, DevOps, and Agile software development, John has guided numerous projects from concept to production. His technical leadership includes architecting scalable systems, driving strategic cloud adoption, and mentoring development teams to achieve excellence. John holds multiple Azure certifications, including Azure AI, and is actively pursuing a Master of Science in Computer Science specializing in Artificial Intelligence and Machine Learning at Georgia Tech.
Priyanshi Singh is a senior artificial intelligence and machine learning technical specialist at Microsoft, specializing in designing end-to-end cloud solutions that leverage generative AI models and AI implementation best practices. She holds a master's degree in data science from New York University and has a robust background as a data scientist, focusing on machine learning techniques for predictive analytics, computer vision, and natural language processing. Priyanshi is dedicated to helping the public sector and independent software vendors (ISVs) transform citizen services through artificial intelligence. She has been recognized as Microsoft's FY24 State and Local Government Pinnacle Winner for her exceptional contributions to AI adoption and the growth of Azure business. Additionally, Priyanshi is a sports enthusiast, excelling in badminton and enjoying golf and billiards.
作者簡介(中文翻譯)
Julian Soh 是微軟的一名軟體工程師和雲端架構師，專注於人工智慧和高級分析領域，為基於微軟技術堆疊開發軟體解決方案的獨立軟體供應商 (ISVs) 提供支持。在擔任目前職位之前，Julian 在主要公共雲計畫中有廣泛的工作經驗，例如 SaaS (Microsoft 365)、IaaS/PaaS (Microsoft Azure) 和混合私有-公共雲實施。
John Tidwell 是 YoungWilliams 的首席技術官，負責領導一個團隊，持續設計、開發和部署 Priya(TM)，這是一個創新的 AI 驅動政府服務解決方案，利用 Microsoft Azure 的 AI 平台。John 在 Azure 雲端技術、生成式 AI、DevOps 和敏捷軟體開發方面擁有專業知識，並指導多個專案從概念到生產。他的技術領導包括架構可擴展系統、推動戰略雲端採用，以及指導開發團隊追求卓越。John 擁有多項 Azure 認證，包括 Azure AI，並正在喬治亞理工學院攻讀專攻人工智慧和機器學習的計算機科學碩士學位。
Priyanshi Singh 是微軟的高級人工智慧和機器學習技術專家，專注於設計利用生成式 AI 模型和 AI 實施最佳實踐的端到端雲端解決方案。她擁有紐約大學的數據科學碩士學位，並擁有作為數據科學家的堅實背景，專注於預測分析、計算機視覺和自然語言處理的機器學習技術。Priyanshi 致力於幫助公共部門和獨立軟體供應商 (ISVs) 通過人工智慧轉型公民服務。她因在 AI 採用和 Azure 業務增長方面的卓越貢獻而被認定為微軟 FY24 州和地方政府的巔峰獲獎者。此外，Priyanshi 是一位運動愛好者，擅長羽毛球，並喜愛高爾夫和桌球。
