Democratize AI: A practical framework for scaling agentic AI for leaders and engineers (English Edition)
暫譯: 民主化人工智慧:領導者與工程師的可擴展代理人工智慧實務框架(英文版)

Pratapani, Harish

  • 出版商: BPB Publications
  • 出版日期: 2026-04-28
  • 售價: $3,060
  • 貴賓價: 9.5$2,907
  • 語言: 英文
  • 頁數: 236
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9378548377
  • ISBN-13: 9789378548376
  • 相關分類: AI Coding
  • 海外代購書籍(需單獨結帳)

商品描述

AI is no longer a coming wave. It is the floor we stand on, reshaping how software gets built, how decisions are made, and how value is created. Yet most organizations remain stuck between using AI and truly operating it at scale. This book bridges that gap, without choosing between strategy and the technical depth required to make these systems work.

Across ten chapters, you will trace AI from its origins to production-grade agentic systems. You will develop an AI-first mindset that treats intelligence as infrastructure, then translate it into a practical blueprint for embedding AI into workflows and culture. You will master multi-agent architectures, see how protocols like MCP and A2A make them interoperable, and discover how vibe coding is reshaping software creation. You will apply semantic observability to understand not just what your AI does but also why, embed security from day one, and draw on lessons that separate pilots from scalable operations.

By the end of this book, you will be fully prepared to lead AI transformations and build your own autonomous agents with confidence. You will possess the practical skills to navigate the new digital economy and secure your place in an AI-driven world.

WHAT YOU WILL LEARN

● Build an AI-first mindset across your entire organization.

● Operationalize AI into workflows, culture, and decisions.

● Master agentic systems and multi-agent architectures at scale.

● Harness semantic observability to move beyond black box AI.

● Scale AI securely and reliably from pilot to production.

● Build AI security and privacy in from the start, not as an afterthought.

● Turn real-world deployment lessons into scalable, production-grade AI operations.

WHO THIS BOOK IS FOR

This book is designed for executives, engineering leads, architects, and entrepreneurs who are ready to scale operations, build agentic systems, or refine AI strategies, providing a practical roadmap for those navigating today's competitive technology landscape.

商品描述(中文翻譯)

AI 不再是即將來臨的浪潮。它是我們所站的基礎,重塑了軟體的建構方式、決策的制定方式以及價值的創造方式。然而,大多數組織仍然在使用 AI 和真正大規模運營之間掙扎。本書填補了這一空白,無需在策略和實現這些系統所需的技術深度之間做出選擇。

在十個章節中,您將追溯 AI 從其起源到生產級的自主系統。您將培養一種以 AI 為首的思維方式,將智慧視為基礎設施,然後將其轉化為將 AI 嵌入工作流程和文化的實用藍圖。您將掌握多代理架構,了解像 MCP 和 A2A 這樣的協議如何使它們互操作,並發現 vibe coding 如何重塑軟體創建。您將應用語義可觀察性來理解您的 AI 不僅在做什麼,還有為什麼,從第一天起就嵌入安全性,並借鑒將試點與可擴展操作區分開來的經驗教訓。

在本書結束時,您將完全準備好領導 AI 轉型,並自信地構建自己的自主代理。您將擁有在新數位經濟中導航的實用技能,並確保在 AI 驅動的世界中佔有一席之地。

您將學到的內容:
● 在整個組織中建立以 AI 為首的思維方式。
● 將 AI 實現到工作流程、文化和決策中。
● 大規模掌握自主系統和多代理架構。
● 利用語義可觀察性超越黑箱 AI。
● 從試點到生產安全可靠地擴展 AI。
● 從一開始就將 AI 安全性和隱私納入考量,而不是事後再想。
● 將現實世界的部署經驗轉化為可擴展的生產級 AI 操作。

本書適合對象:
本書專為準備擴大運營、構建自主系統或完善 AI 策略的高層主管、工程負責人、架構師和企業家設計,為那些在當今競爭激烈的技術環境中導航的人提供實用的路線圖。