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Microsoft Foundry in Action: A hands-on guide to building, evaluating, and governing enterprise AI agents
Build, deploy, and monitor AI applications using Microsoft Foundry's unified portal, combining models, workflows, agents, and responsible AI practices into a single development experience.
Key FeaturesBuild, evaluate, and deploy AI solutions using Microsoft Foundry’s unified portalImplement guardrails, evaluations, and monitoring for production-ready AI systemsIncludes real-world use cases integrating Azure OpenAI and DatabricksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock the full potential of AI with Microsoft Foundry, Microsoft’s unified platform for building, orchestrating, and operating AI solutions at scale. This hands-on guide walks you through the full AI application lifecycle, from data preparation and model selection to deployment, monitoring, and continuous evaluation.
Written by Eduardo Sojo, a former Microsoft consultant and current solutions architect at Databricks with over 15 years of experience, the book focuses on practical implementation using the latest Microsoft Foundry portal. You’ll learn to design intelligent workflows, build agents, and apply guardrails to ensure safe, reliable AI behavior in real-world scenarios.
Rather than focusing only on models, the book shows how to connect workflows, agents, evaluations, and observability so solutions are not just functional, but production-ready.
You’ll explore real-world use cases such as building copilots, integrating external systems like Databricks, and creating multi-agent architectures that work with enterprise data. By the end, you’ll be able to design, build, and operate secure, scalable, intelligent AI solutions using Microsoft Foundry.
What you will learnSelect and deploy models for vision, language, and custom AI scenarios\Use Prompt Flow to design and refine complex AI interactionsEvaluate models using standard performance metricsBuild assistants, copilots, and image-processing solutions with Azure OpenAIDesign, deploy, and orchestrate multi-agent systems using Azure AI Foundry Agent ServiceUtilize Azure AI Foundry Observability for real-time monitoring and evaluationApply Microsoft's Responsible AI principles to real applicationsWho this book is forThis book is for developers, data professionals, and AI practitioners who want to build and deploy intelligent applications using Microsoft Foundry. Whether you're transitioning from Azure AI Studio or starting fresh, this guide will help you understand how to design real-world AI systems using modern tools and best practices. Basic knowledge of programming and data concepts will help you get the most out of this book.
Table of ContentsUnderstanding Azure AI StudioDelving deeper into Azure AI Studio's featuresWorking with dataChoosing the right modelExploring Deployment ModelsWorking with Prompt FlowFrom development to productionUsing artificial intelligence responsiblyTechniques for content safetyUsing Azure OpenAI AssistantsAnalyze images and videos with AICreate your own Copilot
Key FeaturesBuild, evaluate, and deploy AI solutions using Microsoft Foundry’s unified portalImplement guardrails, evaluations, and monitoring for production-ready AI systemsIncludes real-world use cases integrating Azure OpenAI and DatabricksPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionUnlock the full potential of AI with Microsoft Foundry, Microsoft’s unified platform for building, orchestrating, and operating AI solutions at scale. This hands-on guide walks you through the full AI application lifecycle, from data preparation and model selection to deployment, monitoring, and continuous evaluation.
Written by Eduardo Sojo, a former Microsoft consultant and current solutions architect at Databricks with over 15 years of experience, the book focuses on practical implementation using the latest Microsoft Foundry portal. You’ll learn to design intelligent workflows, build agents, and apply guardrails to ensure safe, reliable AI behavior in real-world scenarios.
Rather than focusing only on models, the book shows how to connect workflows, agents, evaluations, and observability so solutions are not just functional, but production-ready.
You’ll explore real-world use cases such as building copilots, integrating external systems like Databricks, and creating multi-agent architectures that work with enterprise data. By the end, you’ll be able to design, build, and operate secure, scalable, intelligent AI solutions using Microsoft Foundry.
What you will learnSelect and deploy models for vision, language, and custom AI scenarios\Use Prompt Flow to design and refine complex AI interactionsEvaluate models using standard performance metricsBuild assistants, copilots, and image-processing solutions with Azure OpenAIDesign, deploy, and orchestrate multi-agent systems using Azure AI Foundry Agent ServiceUtilize Azure AI Foundry Observability for real-time monitoring and evaluationApply Microsoft's Responsible AI principles to real applicationsWho this book is forThis book is for developers, data professionals, and AI practitioners who want to build and deploy intelligent applications using Microsoft Foundry. Whether you're transitioning from Azure AI Studio or starting fresh, this guide will help you understand how to design real-world AI systems using modern tools and best practices. Basic knowledge of programming and data concepts will help you get the most out of this book.
Table of ContentsUnderstanding Azure AI StudioDelving deeper into Azure AI Studio's featuresWorking with dataChoosing the right modelExploring Deployment ModelsWorking with Prompt FlowFrom development to productionUsing artificial intelligence responsiblyTechniques for content safetyUsing Azure OpenAI AssistantsAnalyze images and videos with AICreate your own Copilot
526 pages, Kindle Edition
Published June 26, 2026
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October 25, 2026
Microsoft has used its Azure platform to launch its OpenAI efforts. Recently, it rebranded and renamed its platform to Microsoft Foundry, presumably with some staying power. Like all new technical applications, Foundry can be tedious to use, and its online documentation is sprawling. Eduardo Sojo attempts to make sense of this application and explain it to new users so that they can make the most of it in their personal and professional applications.
Much of this book is simply technical writing to walk through the features of Microsoft Foundry. It describes, step by step, the configurable options to deploy an AI model and their meaning. The depth surpasses what you can gather from the interface, but it lacks the depth of AI theory.
The interesting part takes flight in the last three chapters where Sojo describes how to build AI agents and their implications. He uses an extended example from the finance industry, where data security is at a premium. He ends with a two-agent model that involves cross-communication via Model Context Protocol, or MCP.
Like all technical manuals, this book will serve its purpose for a time and then pass on. It helped me meet my goal of understanding the Foundry in more depth so that I can exploit its features better. It provides a necessary missing piece that helps users configure and deploy AI to meet their goals.
Much of this book is simply technical writing to walk through the features of Microsoft Foundry. It describes, step by step, the configurable options to deploy an AI model and their meaning. The depth surpasses what you can gather from the interface, but it lacks the depth of AI theory.
The interesting part takes flight in the last three chapters where Sojo describes how to build AI agents and their implications. He uses an extended example from the finance industry, where data security is at a premium. He ends with a two-agent model that involves cross-communication via Model Context Protocol, or MCP.
Like all technical manuals, this book will serve its purpose for a time and then pass on. It helped me meet my goal of understanding the Foundry in more depth so that I can exploit its features better. It provides a necessary missing piece that helps users configure and deploy AI to meet their goals.
Displaying 1 - 1 of 1 review