Train models in Azure Machine Learning with the CLI (v2)
- Offered byMicrosoft
Train models in Azure Machine Learning with the CLI (v2) at Microsoft Overview
Duration | 2 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Train models in Azure Machine Learning with the CLI (v2) at Microsoft Course details
- Create Azure Machine Learning resources with the CLI (v2)
- Run jobs in Azure Machine Learning with CLI (v2)
- Use MLflow with Azure Machine Learning jobs submitted with CLI (v2)
- Deploy an Azure Machine Learning model to a managed endpoint with CLI (v2)
- Run component-based pipelines in Azure Machine Learning with CLI (v2)
- The Azure Machine Learning CLI (v2) is an Azure CLI extension that you can use to train and deploy machine learning models. Learn how to use the CLI (v2) to create Azure Machine Learning workspace assets to use for model training and deployment
Train models in Azure Machine Learning with the CLI (v2) at Microsoft Curriculum
Create Azure Machine Learning resources with the CLI (v2)
Introduction
Use the Azure CLI (v2) with Azure Machine Learning
Create an Azure Machine Learning workspace with CLI (v2)
Manage workspace assets with CLI (v2)
Exercise: Create an Azure Machine Learning workspace
Knowledge check
Summary
Run jobs in Azure Machine Learning with CLI (v2)
Introduction
Run a Python script as a training job with CLI (v2)
Exercise: Create a basic training job
Run a hyperparameter tuning job with CLI (v2)
Exercise: Run a sweep job
Knowledge check
Summary
Use MLflow with Azure Machine Learning jobs submitted with CLI (v2)
Introduction
Track and view model metrics with MLflow
Manage models with MLflow
Exercise: Train and track model with MLflow
Knowledge check
Summary
Deploy an Azure Machine Learning model to a managed endpoint with CLI (v2)
Introduction
Explore managed online endpoints
Deploy your model to a managed endpoint
Exercise: Deploy your model with CLI (v2)
Knowledge check
Summary
Run component-based pipelines in Azure Machine Learning with CLI (v2)
Introduction
Create a component
Run a pipeline with the CLI (v2)
Run a pipeline with the Designer
Exercise
Knowledge check
Summary
Train models in Azure Machine Learning with the CLI (v2) at Microsoft Entry Requirements
- This learning path assumes that you have experience training machine learning models with Python and open-source frameworks like Scikit-Learn. Some familiarity with the main concepts of Azure Machine Learning is also expected.
- Not mentioned
Train models in Azure Machine Learning with the CLI (v2) at Microsoft Admission Process
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