Azure ML Workspace with Terraform: Your ML...

Azure Machine Learning workspace is the hub for all ML activities - experiments, models, endpoints, pipelines. It requires four dependent services. Here's how to provision the entire platform with Terraform including compute instances and clusters. In Series 1-3, we worked with managed AI services - AI Foundry for models, AI Search for RAG, Agent Service for orchestration. Series 5 shifts to custom ML - training your own models, deploying endpoints, managing features, and building CI/CD pipeline