Azure Cognitive Services offers a suite of artificial intelligence (AI) via managed APIs in the cloud. But enterprise customers inevitably demand to use these APIs on-premises or in Azure private networks, without sending their customer-specific data to the cloud. Azure Cognitive Services containers allow you to do just that, deploy AI solutions in Azure private networks and on-prem.

In this talk, you will learn how to use Azure Cognitive Services containers to deploy AI solutions that meet your requirements for security, compliance, performance and scalability. You will also discover how to handle common challenges such as networking, updating, monitoring and billing for your containerized deployments.

We will also touch on some gnarly topics such as:
- What services are available as containers and what are their limitations?
- How to diagnose potential errors in your deployment environment?
- Can Azure Cognitive Service containers run without internet connectivity?

And the most important topic, how to run Azure Cognitive Service containers on Kubernetes.

This topic will require some familiarity with Azure Cognitive Services and Docker containers. Join us for a broad ranging discussion with some code samples and demos, on bringing AI to your private Azure networks or on-prem deployments.