Using Azure Machine Learning from GitHub Actions

This post details how to integrate Azure Machine Learning with GitHub Actions for CI/CD pipelines. It explains the rationale for using both services, highlighting GitHub Actions' strengths in code management, workflow orchestration, and deployment control, while Azure Machine Learning is suited for long-running, compute-intensive training jobs. The post provides three methods for integration: using the Python SDK, the Azure ML CLI, and dedicated GitHub Actions for Azure ML. Each method is accompanied by code examples and explanations for setting up workflows, logging into Azure, and submitting ML jobs or deploying models.