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Learn how to build, deploy, and monitor a machine learning model for employee attrition that can be integrated with external applications using Databricks and Kubernetes.

Use Azure Machine Learning, Azure Synapse Analytics, App Service, and Power BI to model loan credit risk and default probability.

See Azure options for orchestrating, storing, building, deploying, and using custom document processing models.

How to apply DevOps principles to data pipelines built according to the modern data warehouse (MDW) architectural pattern with Microsoft Azure.

Learn how to use the durable functions feature of Azure Functions as an automated document processing pipeline to classify documents by type.

Learn how to use Azure Machine Learning and Microsoft Power Platform to quickly create a machine learning proof of concept and a production version.

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.

Learn about hub-spoke topology in Azure, where the spoke virtual networks connect to the hub virtual network and can connect to each other.