Running Training Scripts with Azure Machine Learning SDK v2

Transitioning machine learning models from local notebooks to robust cloud infrastructure can feel like a major hurdle. This course simplifies that transition by teaching you how to package and execute your training code in the cloud. You will learn to take standard Python scripts and run them as managed command jobs in Azure Machine Learning. By utilizing the modern Python SDK v2, you will gain the skills to configure environments, manage compute resources, and track your training runs with ease. What you will learn: Understand the foundational architecture of cloud-scale machine learning workspaces; Configure containerized environments and compute targets for training; Submit and monitor training scripts as command jobs using the SDK; Manage data inputs and outputs securely within cloud storage; Track parameters and metrics automatically using MLflow integration; Register and version your finished models for deployment. This text-based course begins with essential terminology and core definitions before guiding you through written explanations and code configurations to run your first cloud job. It is designed for beginners to cloud machine learning, requiring only basic Python knowledge and no prior cloud experience. Begin scaling your machine learning workflows today.