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We have a new AI Reference Architecture (on the Azure Architecture Center) from AzureCATs Nikhil Joglekar, Miguel Fierro, and Max Kaznady. It was edited by Nanette Ray and Mike Wasson. Reviewed by AzureCATs Tao Wu, Danielle Dean, Emmanuel Awa, and Le Zhang.
This reference architecture shows how to train a recommendation model using Azure Databricks and deploy it as an API by using Azure Cosmos DB, Azure Machine Learning, and Azure Kubernetes Service (AKS).
This reference architecture is for training and deploying a real-time recommender service API that can provide the top 10 movie recommendations for a given user.
This Reference Architecture includes the following information:
Head over to the Azure Architecture Center to learn more about this reference architecture, Build a real-time recommendation API on Azure.
Additional related AI Reference Architectures:
Find all our Reference Architectures here.
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