Azure Machine Learning SDK (v2) end to end tutorials

03/19/2025

Prerequisites

An Azure subscription. If you don't have an Azure subscription, create a free account before you begin.

Getting started

Install the SDK v2

pip install azure-ai-ml

Clone examples repository

git clone https://github.com/Azure/azureml-examples
cd azureml-examples/tutorials

Examples available

Test Status is for branch - main |Title|Notebook|Description|Status| |--|--|--|--| |azureml-getting-started|azureml-getting-started-studio|A quickstart tutorial to train and deploy an image classification model on Azure Machine Learning studio|| |azureml-in-a-day|azureml-in-a-day|Learn how a data scientist uses Azure Machine Learning (Azure ML) to train a model, then use the model for prediction. This tutorial will help you become familiar with the core concepts of Azure ML and their most common usage.|| |e2e-distributed-pytorch-image|e2e-object-classification-distributed-pytorch|Prepare data, test and run a multi-node multi-gpu pytorch job. Use mlflow to analyze your metrics|| |e2e-ds-experience|e2e-ml-workflow|Create production ML pipelines with Python SDK v2 in a Jupyter notebook|| |get-started-notebooks|cloud-workstation|Notebook cells that accompany the Develop on cloud tutorial.|| |get-started-notebooks|deploy-model|Learn to deploy a model to an online endpoint, using Azure Machine Learning Python SDK v2.|| |get-started-notebooks|explore-data|Upload data to cloud storage, create a data asset, create new versions for data assets, use the data for interactive development.|| |get-started-notebooks|pipeline|Create production ML pipelines with Python SDK v2 in a Jupyter notebook|| |get-started-notebooks|quickstart|no description|| |get-started-notebooks|train-model|no description||