Azure Machine Learning SDK (v2) end to end tutorials

Prerequisites

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

pip install azure-ai-ml

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

Test Status is for branch - main

Title	Notebook	Description
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