- Module 1: Azure Machine Learning Python SDK v2.
In this module, you'll learn how to:
- Log models with MLflow.
- Understand the MLmodel format.
- Register an MLflow model in Azure Machine Learning.
- Module 2: Create and explore the Responsible AI dashboard for a model in Azure Machine Learning using the Python SDK v2.
In this module, you learn how to:
- Understand Azure Machine Learning's built-in components for responsible AI.
- Create a Responsible AI dashboard.
- Explore a Responsible AI dashboard.
Manage and review models in Azure Machine Learning
Overview
Syllabus
- Module 1: Module 1: Register an MLflow model in Azure Machine Learning
- Introduction
- Log models with MLflow
- Understand the MLflow model format
- Register an MLflow model
- Exercise - Log and register models with MLflow
- Knowledge check
- Summary
- Module 2: Module 2: Create and explore the Responsible AI dashboard for a model in Azure Machine Learning
- Introduction
- Understand Responsible AI
- Create the Responsible AI dashboard
- Evaluate the Responsible AI dashboard
- Exercise - Explore the Responsible AI dashboard
- Knowledge check
- Summary
Tags
Related Courses
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Train and manage a machine learning model with Azure Machine Learning
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Train models in Azure Machine Learning with the CLI (v2)
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Train models with scripts in Azure Machine Learning
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Deploy and consume models with Azure Machine Learning
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Implement a machine learning solution with Azure Databricks
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Work with compute in Azure Machine Learning
