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

1. Install the SDK v2

pip install azure-ai-ml 

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

Test Status is for branch - main

Area	Sub-Area	Notebook	Description	Status
assets	assets-in-registry	share-data-using-registry	no description
assets	assets-in-registry	share-models-components-environments	no description
assets	component	component	Create a component asset
assets	data	data	Read, write and register a data asset
assets	data	versioning	Compute and check dataset hash in Azure ML; register if unique for efficient versioning.
assets	data	working_with_mltable	Read, write and register a data asset
assets	environment	environment	Create custom environments from docker and/or conda YAML
assets	model	model	Create model from local files, cloud files, Runs
data-wrangling	interactive_data_wrangling.ipynb	interactive_data_wrangling	no description - This sample is excluded from automated tests
endpoints	batch	custom-output-batch	no description
endpoints	batch	mlflow-for-batch-tabular	no description
endpoints	batch	text-summarization-batch	no description
endpoints	batch	imagenet-classifier-batch	no description
endpoints	batch	imagenet-classifier-mlflow	no description
endpoints	batch	mnist-batch	Create and test batch endpoint and deployement
endpoints	batch	deploy-and-test	no description
endpoints	batch	sdk-deploy-and-test	no description
endpoints	batch	sdk-deploy-and-test	no description
endpoints	batch	sdk-deploy-and-test	no description
endpoints	online	online-endpoints-custom-container-multimodel	no description
endpoints	online	online-endpoints-custom-container	Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.
endpoints	online	online-endpoints-triton-cc	Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.
endpoints	online	sdk-deploy-and-test	no description
endpoints	online	sdk-deploy-and-test	no description
endpoints	online	sdk-deploy-and-test	no description
endpoints	online	kubernetes-online-endpoints-safe-rollout	Safely rollout a new version of a web service to production by rolling out the change to a small subset of users/requests before rolling it out completely
endpoints	online	kubernetes-online-endpoints-simple-deployment	Use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure
endpoints	online	debug-online-endpoints-locally-in-visual-studio-code	no description - This sample is excluded from automated tests
endpoints	online	online-endpoints-managed-identity-sai	no description
endpoints	online	online-endpoints-managed-identity-uai	no description
endpoints	online	online-endpoints-binary-payloads	no description
endpoints	online	online-endpoints-inference-schema	no description
endpoints	online	online-endpoints-keyvault	no description
endpoints	online	online-endpoints-multimodel	no description
endpoints	online	online-endpoints-openapi	no description
endpoints	online	online-endpoints-safe-rollout	Safely rollout a new version of a web service to production by rolling out the change to a small subset of users/requests before rolling it out completely
endpoints	online	online-endpoints-simple-deployment	Use an online endpoint to deploy your model, so you don't have to create and manage the underlying infrastructure
endpoints	online	online-endpoints-deploy-mlflow-model-with-script	Deploy an mlflow model to an online endpoint. This will be a no-code-deployment. It doesn't require scoring script and environment.
endpoints	online	online-endpoints-deploy-mlflow-model	Deploy an mlflow model to an online endpoint. This will be a no-code-deployment. It doesn't require scoring script and environment.
endpoints	online	online-endpoints-triton	Deploy a custom container as an online endpoint. Use web servers other than the default Python Flask server used by Azure ML without losing the benefits of Azure ML's built-in monitoring, scaling, alerting, and authentication.
featurestore_sample	automation-test	test_featurestore_cli_samples	no description
featurestore_sample	automation-test	test_featurestore_sdk_samples	no description
featurestore_sample	automation-test	test_featurestore_vnet_samples	no description
foundation-models	azure_openai	openai_completions_finetune	no description
foundation-models	benchmarking	evaluating_claude_models	no description
foundation-models	benchmarking	evaluating_oai_models	no description
foundation-models	cohere	cohere-aisearch-langchain-rag	no description
foundation-models	cohere	cohere-aisearch-rag	no description
foundation-models	cohere	cohere-cmdR	no description
foundation-models	cohere	cohere-embed	no description
foundation-models	cohere	cohere_faiss_langchain_embed	no description
foundation-models	cohere	command_faiss_langchain	no description
foundation-models	cohere	command_tools-langchain	no description
foundation-models	cohere	langchain	no description
foundation-models	cohere	litellm	no description
foundation-models	cohere	openaisdk	no description
foundation-models	cohere	webrequests	no description
foundation-models	azure_openai	openai_chat_finetune_pipeline	no description
foundation-models	huggingface	text-generation-streaming-online-endpoint	no description
foundation-models	system	fill-mask	no description
foundation-models	system	image-multiclass-classification	no description
foundation-models	system	image-multilabel-classification	no description
foundation-models	system	image-instance-segmentation	no description
foundation-models	system	image-object-detection	no description
foundation-models	system	question-answering	no description
foundation-models	system	abstractive-and-extractive-summarization	no description
foundation-models	system	entailment-contradiction	no description
foundation-models	system	sentiment-analysis	no description
foundation-models	system	text-generation	no description
foundation-models	system	news-articles-entity-recognition	no description
foundation-models	system	translation-romanian-to-english	no description
foundation-models	system	emotion-detection-llama-multinode-serverless	no description
foundation-models	system	emotion-detection-llama-multinode	no description
foundation-models	system	emotion-detection-llama-serverless-compute	no description
foundation-models	system	emotion-detection-llama	no description
foundation-models	system	abstractive_qna_with_text_gen	no description
foundation-models	system	summarization_with_text_gen	no description
foundation-models	system	hftransformers-fridgeobjects-multiclass-classification	no description
foundation-models	system	hftransformers-fridgeobjects-multilabel-classification	no description
foundation-models	system	mmdetection-fridgeobjects-instance-segmentation	no description
foundation-models	system	mmdetection-fridgeobjects-object-detection	no description
foundation-models	system	common	no description
foundation-models	system	extractive-qa	no description
foundation-models	system	summarization_with_text_gen	no description
foundation-models	system	news-summary	no description
foundation-models	system	emotion-detection	no description
foundation-models	system	token-classification	no description
foundation-models	system	translation	no description
foundation-models	system	mmtracking-video-multi-object-tracking	no description
foundation-models	system	import_mmdetection_model_into_registry	no description
foundation-models	system	import_model_into_registry	no description
foundation-models	system	asr-batch-endpoint	no description
foundation-models	system	asr-online-endpoint	no description
foundation-models	system	fill-mask-batch-endpoint	no description
foundation-models	system	fill-mask-online-endpoint-oss	no description
foundation-models	system	fill-mask-online-endpoint	no description
foundation-models	system	image-classification-batch-endpoint	no description
foundation-models	system	image-classification-online-endpoint	no description
foundation-models	system	image-instance-segmentation-batch-endpoint	no description
foundation-models	system	image-instance-segmentation-online-endpoint	no description
foundation-models	system	image-object-detection-batch-endpoint	no description
foundation-models	system	image-object-detection-online-endpoint	no description
foundation-models	system	image-text-embeddings-batch-endpoint	no description
foundation-models	system	image-text-embeddings-online-endpoint	no description
foundation-models	system	text-to-image-retrieval	no description
foundation-models	system	image-to-text-batch-endpoint	no description
foundation-models	system	image-to-text-online-endpoint	no description
foundation-models	system	mask-generation-batch-endpoint	no description
foundation-models	system	mask-generation-online-endpoint	no description
foundation-models	system	question-answering-batch-endpoint	no description
foundation-models	system	question-answering-online-endpoint-oss	no description
foundation-models	system	question-answering-online-endpoint	no description
foundation-models	system	summarization-batch-endpoint	no description
foundation-models	system	summarization-online-endpoint	no description
foundation-models	system	entailment-contradiction-batch	no description
foundation-models	system	text-classification-online-endpoint-oss	no description
foundation-models	system	text-classification-online-endpoint	no description
foundation-models	system	aacs-prepare-uai	no description
foundation-models	system	falcon-safe-online-deployment	no description
foundation-models	system	llama-safe-batch-deployment	no description
foundation-models	system	llama-safe-online-deployment	no description
foundation-models	system	text-generation-batch-endpoint	no description
foundation-models	system	text-generation-online-endpoint-dolly	no description
foundation-models	system	text-generation-online-endpoint-oss	no description
foundation-models	system	text-generation-online-endpoint	no description
foundation-models	system	aacs-prepare-uai	no description
foundation-models	system	image-text-to-image-batch-endpoint	no description
foundation-models	system	image-text-to-image-online-endpoint	no description
foundation-models	system	safe-image-text-to-image-batch-deployment	no description
foundation-models	system	safe-image-text-to-image-online-endpoint	no description
foundation-models	system	safe-text-to-image-batch-deployment	no description
foundation-models	system	safe-text-to-image-inpainting-batch-deployment	no description
foundation-models	system	safe-text-to-image-inpainting-online-endpoint	no description
foundation-models	system	safe-text-to-image-online-deployment	no description
foundation-models	system	text-to-image-batch-endpoint	no description
foundation-models	system	text-to-image-inpainting-batch-endpoint	no description
foundation-models	system	text-to-image-inpainting-online-endpoint	no description
foundation-models	system	text-to-image-online-endpoint	no description
foundation-models	system	token-classification-batch-endpoint	no description
foundation-models	system	token-classification-online-endpoint-oss	no description
foundation-models	system	token-classification-online-endpoint	no description
foundation-models	system	translation-batch-endpoint	no description
foundation-models	system	translation-online-endpoint-oss	no description
foundation-models	system	translation-online-endpoint	no description
foundation-models	system	video-multi-object-tracking-online-endpoint	no description
foundation-models	system	visual-question-answering-batch-endpoint	no description
foundation-models	system	visual-question-answering-online-endpoint	no description
foundation-models	system	zero-shot-image-classification-batch-endpoint	no description
foundation-models	system	zero-shot-image-classification-online-endpoint	no description
generative-ai	promptflow	create_faiss_index	no description
generative-ai	rag	test	no description
generative-ai	rag	acs_mlindex_with_langchain	no description
generative-ai	rag	s3_to_acs_mlindex_with_langchain	no description
generative-ai	rag	crack_pdfs_with_azure_document_intelligence	no description
generative-ai	rag	db_copilot_with_rag	no description
generative-ai	rag	faiss_mlindex_with_langchain	no description
generative-ai	rag	scheduled_update_faiss_index	no description
generative-ai	rag	url_to_faiss_incremental_embeddings_with_tabular_data	no description
generative-ai	rag	mlindex_with_testgen	no description
generative-ai	rag	mlindex_with_testgen_autoprompt	no description
generative-ai	rag	pinecone_mlindex_with_langchain	no description
generative-ai	rag	s3_to_pinecone_mlindex_with_langchain	no description
generative-ai	rag	qa_data_generation	no description
jobs	automl-standalone-jobs	script_run_notebook	no description
jobs	automl-standalone-jobs	automl-classification-task-bankmarketing-serverless	no description
jobs	automl-standalone-jobs	automl-classification-task-bankmarketing	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-forecasting-distributed-tcn	no description
jobs	automl-standalone-jobs	auto-ml-forecasting-github-dau	no description
jobs	automl-standalone-jobs	automl-forecasting-orange-juice-sales-mlflow	no description
jobs	automl-standalone-jobs	automl-forecasting-recipe-univariate-experiment-settings	no description
jobs	automl-standalone-jobs	automl-forecasting-recipe-univariate-run	no description
jobs	automl-standalone-jobs	auto-ml-forecasting-bike-share	no description
jobs	automl-standalone-jobs	automl-forecasting-task-energy-demand-advanced-mlflow	no description
jobs	automl-standalone-jobs	automl-forecasting-task-energy-demand-advanced	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-image-classification-multiclass-task-fridge-items	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-image-classification-multilabel-task-fridge-items	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-image-instance-segmentation-task-fridge-items	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	odFridgeObjects_jsonl2coco	no description
jobs	automl-standalone-jobs	image-object-detection-batch-scoring-non-mlflow-model	no description
jobs	automl-standalone-jobs	automl-image-object-detection-task-fridge-items	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-nlp-multiclass-sentiment-mlflow	no description
jobs	automl-standalone-jobs	automl-nlp-multiclass-sentiment	no description
jobs	automl-standalone-jobs	mlflow-model-local-inference-test	no description - This sample is excluded from automated tests
jobs	automl-standalone-jobs	automl-nlp-multilabel-paper-cat	no description
jobs	automl-standalone-jobs	automl-nlp-text-ner-task-distributed-with-sweeping	no description
jobs	automl-standalone-jobs	automl-nlp-text-ner-task	no description
jobs	automl-standalone-jobs	automl-regression-task-hardware-performance	no description
jobs	configuration.ipynb	configuration	Setting up your Azure Machine Learning services workspace and configuring needed resources
jobs	multicloud-configuration.ipynb	multicloud-configuration	Setting up your Azure Machine Learning services workspace and configuring needed resources - This sample is excluded from automated tests
jobs	parallel	oj_sales_prediction	Create pipeline with parallel node to do batch inference
jobs	parallel	iris_batch_prediction	Create pipeline with parallel node to do batch inference
jobs	parallel	mnist_batch_prediction	Create pipeline with parallel node to do batch inference
jobs	pipelines	pipeline_with_components_from_yaml	Create pipeline with CommandComponents from local YAML file
jobs	pipelines	pipeline_with_components_from_yaml_serverless	Create pipeline with CommandComponents from local YAML file
jobs	pipelines	pipeline_with_python_function_components	Create pipeline with command_component decorator
jobs	pipelines	pipeline_with_hyperparameter_sweep	Use sweep (hyperdrive) in pipeline to train mnist model using tensorflow
jobs	pipelines	pipeline_with_non_python_components	Create a pipeline with command function
jobs	pipelines	pipeline_with_registered_components	Register component and then use these components to build pipeline
jobs	pipelines	pipeline_with_parallel_nodes	Create pipeline with parallel node to do batch inference
jobs	pipelines	automl-classification-bankmarketing-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-forecasting-in-pipeline	no description
jobs	pipelines	automl-image-classification-multiclass-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-image-classification-multilabel-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-image-instance-segmentation-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-image-object-detection-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-regression-house-pricing-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-text-classification-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-text-classification-multilabel-in-pipeline	Create pipeline with automl node
jobs	pipelines	automl-text-ner-named-entity-recognition-in-pipeline	Create pipeline with automl node
jobs	pipelines	pipeline_with_spark_nodes	Create pipeline with spark node
jobs	pipelines	nyc_taxi_data_regression_with_pipeline_component	Create pipeline with CommandComponents from local YAML file
jobs	pipelines	pipeline_with_train_eval_pipeline_component	Create pipeline with CommandComponents from local YAML file
jobs	pipelines	automl-forecasting-demand-hts	no description
jobs	pipelines	automl-forecasting-demand-many-models-in-pipeline	no description
jobs	pipelines	flow_in_pipeline	Create pipeline using components to run a distributed job with tensorflow
jobs	pipelines	train_mnist_with_tensorflow	Create pipeline using components to run a distributed job with tensorflow
jobs	pipelines	train_cifar_10_with_pytorch	Get data, train and evaluate a model in pipeline with Components
jobs	pipelines	nyc_taxi_data_regression	Build pipeline with components for 5 jobs - prep data, transform data, train model, predict results and evaluate model performance
jobs	pipelines	image_classification_with_densenet	Create pipeline to train cnn image classification model
jobs	pipelines	image_classification_keras_minist_convnet	Create pipeline to train cnn image classification model with keras
jobs	single-step	lightgbm-iris-sweep	Run hyperparameter sweep on a Command or CommandComponent
jobs	single-step	tutorial	no description
jobs	single-step	distributed-cifar10	no description
jobs	single-step	train-hyperparameter-tune-deploy-with-pytorch	Train, hyperparameter tune, and deploy a PyTorch model to classify chicken and turkey images to build a deep learning neural network (DNN) based on PyTorch's transfer learning tutorial.
jobs	single-step	train-hyperparameter-tune-with-sklearn	Train and tune a machine learning model using scikit-learn training scripts to build a to classify iris flower images. - This sample is excluded from automated tests
jobs	single-step	tensorflow-mnist-distributed	Run a Distributed Command to train a basic neural network with TensorFlow on the MNIST dataset
jobs	single-step	train-hyperparameter-tune-deploy-with-keras	Train, hyperparameter tune, and deploy a Keras model to classify handwritten digits using a deep neural network (DNN). - This sample is excluded from automated tests
jobs	single-step	train-hyperparameter-tune-deploy-with-tensorflow	Train, hyperparameter tune, and deploy a Tensorflow model to classify handwritten digits using a deep neural network (DNN). - This sample is excluded from automated tests
jobs	spark	run_interactive_session_notebook	no description
jobs	spark	submit_spark_pipeline_jobs	no description
jobs	spark	submit_spark_standalone_jobs	no description
jobs	spark	submit_spark_standalone_jobs_managed_vnet	no description
jobs	finetuning-model-as-a-service	chat-completion	no description
jobs	finetuning-model-as-a-service	text-generation	no description
jobs	finetuning-model-as-a-platform	chat-completion	no description
jobs	finetuning-model-as-a-platform	text-generation	no description
resources	compute	attach_manage_spark_pools	no description
resources	compute	compute	Create compute in Azure ML workspace
resources	connections	connections	no description
resources	datastores	datastore	Create datastores and use in a Command - This sample is excluded from automated tests
resources	registry	registry-create	no description
resources	workspace	workspace	Create Azure ML workspace
responsible-ai	mlflow-deployment-with-explanations	mlflow-deployment-with-explanations	no description
responsible-ai	tabular	responsibleaidashboard-diabetes-decision-making	no description
responsible-ai	tabular	responsibleaidashboard-diabetes-regression-model-debugging	no description
responsible-ai	tabular	responsibleaidashboard-education-student-attrition-classificaton	no description
responsible-ai	tabular	responsibleaidashboard-finance-loan-classification	no description
responsible-ai	tabular	responsibleaidashboard-healthcare-covid-classification	no description
responsible-ai	tabular	responsibleaidashboard-housing-classification-model-debugging	no description
responsible-ai	tabular	responsibleaidashboard-housing-decision-making	no description
responsible-ai	tabular	responsibleaidashboard-programmer-regression-model-debugging	no description
responsible-ai	text	responsibleaidashboard-multilabel-text-classification-covid-events	no description
responsible-ai	text	responsibleaidashboard-text-classification-DBPedia	no description
responsible-ai	text	responsibleaidashboard-text-classification-blbooksgenre	no description
responsible-ai	text	responsibleaidashboard-text-classification-financial-news	no description
responsible-ai	text	responsibleaidashboard-text-question-answering-squad	no description
responsible-ai	vision	responsibleaidashboard-automl-image-classification-fridge	no description
responsible-ai	vision	responsibleaidashboard-automl-object-detection-fridge-private-data	no description
responsible-ai	vision	responsibleaidashboard-image-classification-fridge	no description
responsible-ai	vision	responsibleaidashboard-image-flower-classification	no description
responsible-ai	vision	responsibleaidashboard-image-multilabel-classification-fridge	no description
responsible-ai	vision	responsibleaidashboard-object-detection-MSCOCO	no description
schedules	job-schedule.ipynb	job-schedule	Create a component asset
using-mlflow	deploy	mlflow_sdk_online_endpoints	no description - This sample is excluded from automated tests
using-mlflow	deploy	mlflow_sdk_online_endpoints_progresive	no description - This sample is excluded from automated tests
using-mlflow	deploy	mlflow_sdk_web_service	no description - This sample is excluded from automated tests
using-mlflow	deploy	scoring_to_mlmodel	no description - This sample is excluded from automated tests
using-mlflow	deploy	track_with_databricks_deploy_aml	no description - This sample is excluded from automated tests
using-mlflow	model-management	model_management	no description - This sample is excluded from automated tests
using-mlflow	runs-management	run_history	no description - This sample is excluded from automated tests
using-mlflow	train-and-log	keras_mnist_with_mlflow	no description - This sample is excluded from automated tests
using-mlflow	train-and-log	logging_and_customizing_models	no description - This sample is excluded from automated tests
using-mlflow	train-and-log	xgboost_classification_mlflow	no description - This sample is excluded from automated tests
using-mlflow	train-and-log	xgboost_nested_runs	no description - This sample is excluded from automated tests
using-mlflow	train-and-log	xgboost_service_principal	no description - This sample is excluded from automated tests
using-mlflow	using-rest-api	using_mlflow_rest_api	no description - This sample is excluded from automated tests
using-mltable	delimited-files-example	delimited-files-example	no description
using-mltable	delta-lake-example	delta-lake-example	no description
using-mltable	from-paths-example	from-paths-example	no description
using-mltable	local-to-cloud	mltable-local-to-cloud	no description
using-mltable	quickstart	mltable-quickstart	no description

We welcome contributions and suggestions! Please see the contributing guidelines for details.

This project has adopted the Microsoft Open Source Code of Conduct. Please see the code of conduct for details.

• Documentation