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Azure AI Studio – Deploy and use your first model

Azure AI Studio is a trusted platform that empowers developers to drive innovation and shape the future with AI in a safe, secure, and responsible way. The comprehensive platform accelerates the development of production-ready copilots to support enterprise chat, content generation, data analysis, and more. Developers can explore cutting-edge APIs and models for their use cases; build and test solutions with collaborative and responsible AI tools, safeguards, and best practices; deploy AI innovations for use in websites, applications, and other production environments; and manage solutions with continuous monitoring and governance in production.

It is a matter of clicks to start using AI studio, you will need to deploy a new hub from Azure portal and then press Launch from the UI.

When you open the studio, you’ll see the user interface shown below. To get started, you’ll need to deploy your first model by navigating to the deployments section.

From deployments you have two options, either to deploy a base model or a fine-tuned.

At the time of writing there are 1747 models available from all kind of companies. In my case I selected the gpt-4o-mini and by pressing deploy I have an instance ready that I can use on the playground.

After your model is deployed you can start using your model by either using chat or assistant. Lets take assistant as an example.

By pressing New Assistant a name will be auto generated and you can start chatting with it.

A very handful functionality is the ability to generate code on how to use your AI. By pressing View code, you can request a sample on many languages like python and C#.

A snippet on C# can be found below.

Another useful functionality is the ability to deploy your chat model as a web app with just a few clicks. By navigating in the left menu inside Chat section you can use the Deploy button.

Then you should fill the information on where you want to deploy your web app and press Deploy.

When the deployment finishes you can find your web app inside the resource group that you specified.