Last commit on July 28, 2026·Created on February 26, 2026
microsoft/azure-skills
“A technical guide for deploying and managing AI infrastructure on Azure”
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#150
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In DevOps
#2
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This collection provides structured workflows for engineers deploying large language models and AI services within the Azure ecosystem. It focuses on the transition from bare clusters to running models, specifically targeting the complexities of GPU assessment and model serving.
The skills streamline the setup of AI Runway on Azure Kubernetes Service, offering a path through controller installation and provider configuration to ensure stable inference environments.
WHO IT'S FOR
AI / ML Engineers
deploying LLMs and model serving on AKS
AI Application Developers
integrating Azure AI search and speech services
Cloud Platform Engineers
onboarding applications to Azure infrastructure
Backend Engineers
instrumenting webapps with Azure Application Insights