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Learn about compute options, the hosting models for the computing resources that your application runs on, like service orchestrator and serverless architectures.

Many machine learning problems are too complex for a single machine learning model to solve. Learn about many models machine learning at scale with Azure Machine […]

Often machine learning (ML) problems are too complex for a single ML model to solve. Learn about many models machine learning at scale in Azure with […]

Use Azure network security capabilities, such as virtual networks, network peering, Private Link, and private DNS zones to protect MLOps solutions.

Build an automated document processing pipeline. Use AI Document Intelligence to extract data and natural language processing models to enrich the data.

Find out how to automate video analysis. Use Computer Vision and Azure Machine Learning to analyze your content.

Review a list of architectures and solutions that use Microsoft on-premises technologies on Microsoft Azure.

Learn about a scalable, secure AKS microservices architecture that builds on recommended AKS microservices baseline architectures and implementations.

Use Azure IoT Edge, MLOps, and human-in-the-loop notifications to train and deploy an ML computer vision solution for manufacturing.

This architecture shows how the Raincode COBOL compiler modernizes mainframe legacy applications.

This article presents a reference architecture for serverless event ingestion and processing using Azure Functions.