Automating Enterprise ML: Building Azure ML Platforms with Infrastructure as Code

This guide demonstrates how to automate Azure ML workspace deployment using Terraform, enabling teams to provision production-ready ML infrastructure as code. Moving beyond managed AI services, it provides the essential foundation for custom model training, endpoint deployment, and CI/CD pipelines. For organizations scaling ML operations, Infrastructure-as-Code governance ensures consistent, reproducible, and properly configured ML platform deployments across environments.