Azure Machine Learning Studio is Microsoft's cloud-based platform for building, training, and deploying machine learning models at enterprise scale. It provides a unified environment that combines code-first SDKs (Python/CLI v2), no-code Designer interfaces, and automated ML capabilities, enabling data scientists and ML engineers to manage the complete ML lifecycle—from data preparation and experimentation through model deployment and monitoring. Understanding Azure ML's workspace architecture, compute options, pipeline orchestration, and deployment patterns is essential for productionizing models efficiently while maintaining governance, security, and cost control across distributed ML teams.