liveBook · Manning

Azure OpenAI

Azure OpenAI Service is Microsoft’s managed Azure cloud service for accessing OpenAI models through Azure-hosted deployments, APIs, infrastructure, and controls.

How 3 Manning books explain it

Generative AI in Action

Azure OpenAI on your data is a platform service that enables enterprises to run AI models over their organizational data with integrated scalability, security, and Azure-service connectivity.

How it is used
Positions Azure OpenAI as managed model access for enterprise applications and chat over organizational data.
How deep it goes
Explains service differences, model discovery, and data-source configuration, but does not detail the service’s internal implementation.
Examples
Uses a Python model-listing call and a blog-post data source connected through Azure AI Studio.
What you can do after
Operate/configure it by inspecting available models, protecting credentials, and connecting a data source for chat.

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Microsoft Azure in Action

Azure OpenAI Service is an Azure service that provides access to hosted OpenAI generative AI models through managed APIs and endpoints.

How it is used
Powers book recommendations and summaries by giving applications access to hosted language models.
How deep it goes
Walks through resource creation, model deployment, and an API request; leaves production integration at practical guidance.
Examples
Uses an 1984 customer review to request three similar books, alongside Azure CLI deployment and API-call examples.
What you can do after
Operate/configure it with Azure CLI to create a resource, deploy a model, and send a prompt using az rest.

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Spring AI in Action

Azure OpenAI is Microsoft's Azure-hosted service for accessing OpenAI models through Azure infrastructure and authentication.

How it is used
Provides Spring AI applications with Azure-hosted access to OpenAI models.
How deep it goes
Specifies the provider starter, API-key configuration, and deployment-name property without detailing Azure service internals.
Examples
Uses the Azure starter, an Azure API-key environment variable, and a GPT-4 deployment property.
What you can do after
Configure a Spring AI application to send prompts to a selected Azure OpenAI deployment.

Read how Spring AI in Action explains Azure OpenAI →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.