Course Description
Designing and Implementing a Data Science Solution on Azure 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.
Learning Objectives
- 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
Framework Connections
Feedback
If you would like to provide feedback for this course, please e-mail the NICCS SO at NICCS@hq.dhs.gov.