Train models in Azure Machine Learning 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

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

Introduction

Track and view model metrics with MLflow

Manage models with MLflow

Exercise: Train and track model with MLflow

Knowledge check

Summary

Introduction

Explore managed online endpoints

Deploy your model to a managed endpoint

Exercise: Deploy your model with CLI (v2)

Knowledge check

Summary

Introduction

Create a component

Run a pipeline with the CLI (v2)

Run a pipeline with the Designer

Exercise

Knowledge check

Summary