Manage and review models in Azure Machine Learning
Offered By: Microsoft via Microsoft Learn
Course Description
Overview
- 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.
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
Applied Machine LearningMicrosoft via edX Delivering a Data Warehouse in the Cloud
Microsoft via edX Developing Big Data Solutions with Azure Machine Learning
Microsoft via edX DP-100: A-Z Machine Learning using Azure Machine Learning
Udemy Operationalizing Microsoft Azure AI Solutions
Pluralsight