Deploying AI solutions at scale requires more than just innovation; it necessitates automation. In this blog, we will explore how to optimize and standardize Azure AI Foundry deployments using Infrastructure-as-Code (IaC). By leveraging the declarative capabilities of Bicep alongside the automation features of GitHub Workflows, you can establish reproducible, secure, and fully automated deployment pipelines for your AI infrastructure. Whether you are developing proof-of-concepts or overseeing enterprise scale environments, this method guarantees agility, compliance, and operational consistency.
Updated May 09, 2025
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