Building Agentic Solutions with Microsoft Foundry: Patterns, Workflows, and Best Practices for Intelligent Agents

Building Agentic Solutions with Microsoft Foundry: Patterns, Workflows, and Best Practices for Intelligent Agents book cover

Building Agentic Solutions with Microsoft Foundry: Patterns, Workflows, and Best Practices for Intelligent Agents

Author(s): Colby T. Ford (Author)

  • Publisher: O'Reilly Media
  • Publication Date: October 13, 2026
  • Edition: 1st
  • Language: English
  • Print length: 257 pages
  • ASIN: B0GZ758284
  • ISBN-13: 9798341673328

Book Description

Bringing AI into production involves much more than model deployment. Organizations need to control how agents access data, respond to users, and operate within governance policies. Microsoft Foundry offers a unified platform for building, scaling, and managing intelligent agents across an enterprise. This book helps you unlock Foundry's full potential through proven practices, clear examples, and actionable guidance.

Building Agentic Solutions with Microsoft Foundry is a hands-on guide for cloud engineers, AI developers, and technical leaders using Azure to implement enterprise-ready AI. You'll learn how to deploy large language models, connect them to secure data sources, manage quotas and usage, and architect agentic workflows. This book will become a trusted reference as you bring intelligent agents into your organization.

  • Deploy large language models using Microsoft Foundry services
  • Configure retrieval-augmented generation with MCP tools to enable data access
  • Build multi-agent workflows with Foundry IQ knowledge bases
  • Monitor usage and track performance with built-in observability features
  • Apply reference architectures and patterns suited for enterprise environments
  • Govern compliant and secure AI applications with confidence using scalable management tools

Editorial Reviews

Editorial Reviews

About the Author

Dr. Colby T. Ford is a cloud AI architect and computational biologist at Tuple who specializes in building cloud-based solutions for the life sciences. He's the author of "Genomics in the Azure Cloud" (O'Reilly, 2022) and is a 3x Microsoft Most Valuable Professional awardee for his work relating to AI, high-performance computing, and bioinformatics in Azure. Outside of his consulting work, he is a visiting scholar at UNC Charlotte’s CIPHER research center where he works in infectious diseases, protein modeling, AI-based drug discovery, and more.

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