# How do I learn about accessing Azure OpenAI? **URL:** \ **Category:** Uncategorized\ **Created:** [August 28, 2026, 11:55pm UTC](https://community.cloudbank.org/t/how-do-i-learn-about-accessing-azure-openai/264 "2026-08-28T23:55:33Z")\ **Posts on this page:** 1\ **Showing post:** 2
**Author:** ![rob](https://sea2.discourse-cdn.com/flex016/user_avatar/community.cloudbank.org/rob/32/5_2.png) [@rob](https://community.cloudbank.org/u/rob)\ **Post date:** [August 28, 2026, 11:59pm UTC](https://community.cloudbank.org/t/how-do-i-learn-about-accessing-azure-openai/264/2 "2026-08-28T23:59:14Z")
Hi Rob; Let’s see what we can do for you. There is also [this CloudBank Community entry](https://community.cloudbank.org/t/azure-open-ai-information-please/161/2) from a couple years back in 2023 that points to a video resource. Here first is a list from Microsoft Learn docs; and I follow this up with some terminology and a simple version of “how to get there”. - **Create and deploy an Azure OpenAI resource in AI Foundry** — step-by-step for standing up the resource and deploying your first model, via portal, CLI, or PowerShell. This is the “how do I actually get access” starting point. [How-to: Create and deploy an Azure OpenAI in Microsoft Foundry Models resource (classic) - Microsoft Foundry (classic) portal | Microsoft Learn](https://learn.microsoft.com/en-us/azure/ai-foundry/openai/how-to/create-resource) - **Microsoft Foundry architecture overview** — explains the layered model (Foundry resource for governance → projects for isolation → connected Azure services), which is the mental model for organizing work and access. [Microsoft Foundry architecture - Microsoft Foundry | Microsoft Learn](https://learn.microsoft.com/en-us/azure/ai-foundry/concepts/architecture) - **Create a Foundry resource (multi-service)** — describes how a single resource brings agents, model deployments, and Foundry Tools together behind one endpoint and key, with projects for separating use cases. [Create a Foundry resource - Foundry Tools | Microsoft Learn](https://learn.microsoft.com/en-us/azure/ai-services/multi-service-resource) - **Upgrade Azure OpenAI to Microsoft Foundry** — useful for understanding the current rebrand and how an existing Azure OpenAI endpoint maps into Foundry without rebuilding. [Upgrade Azure OpenAI to Microsoft Foundry - Microsoft Foundry | Microsoft Learn](https://learn.microsoft.com/en-us/azure/foundry/how-to/upgrade-azure-openai) - **AI and Machine Learning products (Azure Architecture Center)** — compares Azure’s AI/ML platforms by audience and workload, which helps distinguish the agent-assistant path (AI Foundry) from building ML/data pipelines (Azure Machine Learning). [AI and Machine Learning Products - Azure Architecture Center | Microsoft Learn](https://learn.microsoft.com/en-us/azure/architecture/ai-ml/guide/data-science-and-machine-learning) Terms: - My terminology: Azure Object – an abstract container used to tie related services together as in a bundle. Main example: Resource Group. OpenAI example: Foundry Resource. - Azure OpenAI — Microsoft’s hosted version of OpenAI’s models (GPT-4o, o-series, etc.), running inside Azure’s security, compliance, and billing perimeter rather than on OpenAI’s own servers. - AI Foundry — the umbrella workbench platform (portal + APIs + SDKs): Get models, build agents, bring in data. - Foundry resource — the top-level Azure Object: Governance and billing. Holds model deployments, agents, connections. One endpoint, one key. - Project — a sub-container / workspace inside a Foundry resource that isolates use cases - Deployment — We don’t call models in Azure directly; we create named “deployments” (like instances) of some model and our code calls that name. - SDK — a Software Development Kit: the code library you install to call the service from Python or whatever Access to Azure OpenAI: 1. **Have an Azure subscription: check!** 2. **Create a Foundry resource** in a region that hosts the models you want (model availability varies by region). 3 modes of access: 3. **Deploy a model** into that resource — pick a model, name it, choose deployment type (Standard, Global Standard, or Provisioned Throughput). 4. **Get your endpoint URL + key** (see also the Azure service for this: **Microsoft Entra ID:** keyless auth via managed identities/roles). 5. **Call the model from code.** Microsoft is standardizing on the **OpenAI-compatible `/v1` API and the stable OpenAI SDK** — you point the standard OpenAI client at your Azure endpoint. (Do not use the deprecated “Azure AI Inference beta SDK”) --- _[View the full topic](https://community.cloudbank.org/t/how-do-i-learn-about-accessing-azure-openai/264)._