Upon successful completion of this course, students will master essential skills to:
Make data available in Azure Machine Learning.
Work with compute targets in Azure Machine Learning.
Run a training script as a command job in Azure Machine Learning.
Track model training with MLflow in jobs.
Register an MLflow model in Azure Machine Learning.
Deploy a model to a managed online endpoint.
Training Prerequisites
To maximize the benefits of this course, participants should have familiarity with the data science process. While the course doesn't delve deeply into data science concepts, a basic understanding is recommended. Additionally, familiarity with Python is essential, as the course focuses on utilizing the Python SDK for interacting with Azure Machine Learning.
