Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow.
Successful Azure Data Scientists start this role with a fundamental knowledge of cloud computing concepts, and experience in general data science and machine learning tools and techniques.
Specifically:
To gain these prerequisite skills, take the following course:
Design a machine learning solution
Explore the Azure Machine Learning workspace
Work with data in Azure Machine Learning
Work with compute in Azure Machine Learning
Automate machine learning model selection with Azure Machine Learning
Use notebooks for experimentation in Azure Machine Learning
Train models with scripts in Azure Machine Learning
Optimize model training with pipelines in Azure Machine Learning
Manage and review models in Azure Machine Learning
Deploy and consume models with Azure Machine Learning