Architecting Intelligent Agents in Azure : Building Agentic Systems with Python and the Microsoft Agent Framework

個数：

Architecting Intelligent Agents in Azure : Building Agentic Systems with Python and the Microsoft Agent Framework

Narayn, Hari

ウェブストア価格 ¥12,004（本体¥10,913）
APress（2026/06発売）
外貨定価 US$ 59.99
ポイント 109pt

提携先の海外書籍取次会社に在庫がございます。通常3週間で発送いたします。
【重要ご説明事項】
1. 納期遅延や、ご入手不能となる場合が若干ございます。
2. 複数冊ご注文の場合は、ご注文数量が揃ってからまとめて発送いたします。
3. 美品のご指定は承りかねます。

●3Dセキュア導入とクレジットカードによるお支払いについて

【入荷遅延について】
世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。

◆画像の表紙や帯等は実物とは異なる場合があります。

◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
また、洋書販売価格は、ご注文確定時点での日本円価格となります。
ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。

製本 Paperback:紙装版/ペーパーバック版／ページ数 459 p.
言語 ENG
商品コード 9798868824326
DDC分類 006.76

Full Description

Architecting Intelligent Agents in Azure takes you from your first interaction with an AI agent to deploying a fully orchestrated, production-ready system that can reason, remember, collaborate, and act.

Using the Microsoft Agent Framework and Python, this book walks you through every engineering layer behind modern agentic systems, from grounding and memory to tools, semantic recall, and autonomous action.

Across the chapters, you'll build Thain, an Azure-native feedback agent that evolves into a multi-agent system with the ability to retrieve knowledge, coordinate tasks, and refine its performance.

With a balanced mix of architecture, hands-on code, and cloud patterns, you'll learn how Azure Cosmos DB, Azure AI Search, Azure Monitor, and serverless components come together to form intelligent, self-improving enterprise agents.

Whether you're an AI engineer, Azure developer, or solution architect, this book offers a practical, end-to-end guide to building agents that can reason, recall, collaborate, and grow over time.

What You Will Learn:

Build a fully functioning agent using Python and the Microsoft Agent Framework
Implement reasoning loops, short-term memory, and tool-based actions
Add persistent memory using Azure Cosmos DB and semantic recall using Azure AI Search
Create safe and governed agents with telemetry, observability, and policy enforcement
Integrate external systems through tools for tickets, documents, notifications, and workflows
Orchestrate collaborative multi-agent systems with shared memory
Deploy agentic workloads using Azure Functions, CI/CD pipelines, and cloud-native architecture
Optimize cost, scale, and performance for enterprise production environments

Who This Book Is For:

AI engineers and developers building real agentic systems and evaluating the Microsoft Agent Framework, vector search, and Azure AI services

Cloud and Azure engineers looking to integrate AI capabilities deeply into existing or new applications

Solution architects designing AI-native or AI-augmented enterprise platforms

Full-stack engineers transitioning into AI engineering and wanting an end-to-end practical pathway into agentic systems