OpenAI and Microsoft Azure: Build Production AI Applications with Azure OpenAI, Foundry Agents, RAG, and Multi-Cloud Automation (Paperback) (ISBN-13: 9798188505639)

OpenAI's frontier models run natively on Azure. This is the hands-on, end-to-end guide to combining them with Microsoft Foundry and the full power of Azure to build AI applications that actually reach production, not just demos.

Most AI books stop at calling an API. This one takes you all the way: from your first model call to a secure, observable, scalable platform running real workloads. Every technique is built on the current 2026 stack, GPT-5.6, the Responses API, Microsoft Foundry, Foundry Agent Service, and Azure AI Search, including the agentic capabilities that older Azure books predate entirely.

What you will build and master:

• Production chatbots with memory, streaming, and durable session state on serverless Azure.
• Retrieval-Augmented Generation grounded in your own documents, with hybrid search, semantic ranking, and citations.
• Autonomous AI agents on Foundry Agent Service, using MCP tools, managed memory, and agent identity.
• Multi-agent systems that plan, delegate, and coordinate through open A2A protocols.
• Enterprise automation for invoices, contracts, reports, support, and workflows.
• Enterprise knowledge assistants with permission-filtered retrieval that never leaks restricted content.
• Security and governance with Microsoft Entra ID, Key Vault, Content Safety, and Prompt Shields.
• Observability, testing, evaluation, scaling, and cost control for real production systems.
• Multi-cloud architecture that runs OpenAI models across Azure and AWS without lock-in.

Who this book is for: backend and full-stack developers, cloud and platform engineers, ML engineers, solution architects, and technical leads who want to ship AI features that are reliable, secure, and built to last.

You should be comfortable with Python and basic APIs. Prior Azure experience helps but is not required, the book builds your foundation from a new subscription, with a companion code repository organized by chapter.

What sets this book apart: it teaches the current agentic Azure stack, not the deprecated approach found in older titles, and it is the only guide that shows you how to run the same production AI across two clouds.

Twenty focused chapters across five parts, plus twelve reference appendices, take you from foundations to a complete multi-cloud production AI platform.

Stop building demos. Start shipping production AI. Scroll up and grab your copy today.