# Webinar: Anyscale on Azure: Build and deploy AI at scale in your own…

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## Email content

Hi Thomas,

Anyscale on Azure is now in public preview, and we're going deep on how it works. Join Daniel Arrizza (Field Engineer, Anyscale) and Paul Yu (Senior Cloud Advocate, Microsoft) for a working session on running production AI inside your own Azure tenant – where your data stays within your existing governance.

What you'll leave knowing:

Where Anyscale on Azure fits in your AI stack

How it integrates with the Azure services you already use: Microsoft Entra ID, Azure RBAC, Azure Policy, Azure Monitor, and Microsoft Cost Management

What you need to get started, from your Azure tenant to your first Ray cluster

Plus a live demo: building, training, and serving a real AI workload on Anyscale in an Azure environment

Built for platform engineers, ML engineers, and architects deciding where to run AI on Azure.

Register

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Advance your AI Platform with Anyscale.

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