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Learn

https://github.com/MicrosoftDocs/azure-docs/blob/main/articles/machine-learning

ML Studio

https://www.red-gate.com/simple-talk/cloud/data-science/azure-machine-learning-introduction-part-1-overview-and-prep-work/

https://github.com/PracticalAutomatedMachineLearning/Azure/tree/master/notebook

Python sdk

https://learn.microsoft.com/en-us/python/api/overview/azure/ml/?view=azure-ml-py

https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-pipeline-python-sdk?view=azureml-api-2

OVERVIEW

  • Azure Machine Learning documentation: https://learn.microsoft.com/en-us/azure/machine-learning/?view=azureml-api-2

  • How Azure Machine Learning works: resources and assets: https://learn.microsoft.com/en-us/azure/machine-learning/concept-azure-machine-learning-v2?view=azureml-api-2&tabs=sdk&source=docs

  • What is an Azure Machine Learning workspace?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-workspace?view=azureml-api-2

  • What is an Azure Machine Learning compute instance?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-compute-instance?view=azureml-api-2

  • What is Azure Machine Learning CLI and Python SDK v2?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-v2?view=azureml-api-2

  • Tutorial: Create resources you need to get started: https://learn.microsoft.com/en-us/azure/machine-learning/quickstart-create-resources?view=azureml-api-2

  • QuickStart: Get started with Azure Machine Learning: https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-azure-ml-in-a-day?view=azureml-api-2

  • Azure Machine Learning glossary: https://learn.microsoft.com/en-us/azure/machine-learning/azure-machine-learning-glossary?view=azureml-api-2

DATA & CONNECTIONS

  • Data concepts in Azure Machine Learning: https://learn.microsoft.com/en-us/azure/machine-learning/concept-data?view=azureml-api-2

  • Train models with Azure Machine Learning datasets: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-train-with-datasets?view=azureml-api-1

  • Data ingestion with Azure Data Factory: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-data-ingest-adf?view=azureml-api-1&viewFallbackFrom=azureml-api-2

  • Execute Azure Machine Learning pipelines in Azure Data Factory and Synapse Analytics: https://learn.microsoft.com/en-us/azure/data-factory/transform-data-machine-learning-service?view=azureml-api-1

  • Create external data connections (preview): https://learn.microsoft.com/en-us/azure/machine-learning/how-to-connection?view=azureml-api-2&tabs=cli

  • What is "human data" and why is it important to source responsibly?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-sourcing-human-data?view=azureml-api-2

AUTOML

  • What is automated machine learning (AutoML)?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-automated-ml?view=azureml-api-2

  • Tutorial: Train a classification model with no-code AutoML in the Azure Machine Learning studio: https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-first-experiment-automated-ml?view=azureml-api-2

  • Tutorial: Train an object detection model with AutoML and Python: https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-auto-train-image-models?view=azureml-api-2&tabs=cli

COMPUTE:

• Model training on serverless compute (preview): https://learn.microsoft.com/en-us/azure/machine-learning/how-to-use-serverless-compute?view=azureml-api-2&tabs=python • Distributed training with Azure Machine Learning: https://learn.microsoft.com/en-us/azure/machine-learning/concept-distributed-training?view=azureml-api-2

DESIGNER & PIPELINES

  • What are Azure Machine Learning pipelines?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-ml-pipelines?view=azureml-api-2

  • What is an Azure Machine Learning component?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-component?view=azureml-api-2

  • What is Azure Machine Learning designer(v2)?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-designer?view=azureml-api-2

  • Create and run machine learning pipelines using components with the Azure Machine Learning studio: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipelines-ui?view=azureml-api-2

  • Create and run machine learning pipelines using components with the Azure Machine Learning SDK v2: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-create-component-pipeline-python?view=azureml-api-2

RESPONSIBLE AI

  • What is Responsible AI?: https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-api-2

  • Generate a Responsible AI insights in the studio UI: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-responsible-ai-insights-ui?view=azureml-api-2

  • Assess AI systems by using the Responsible AI dashboard: https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai-dashboard?view=azureml-api-2

  • Share Responsible AI insights using the Responsible AI scorecard (preview): https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai-scorecard?view=azureml-api-2

ARCHITECTURE

  • Artificial intelligence (AI) architecture design: https://learn.microsoft.com/en-us/azure/architecture/ai-ml/

  • Tutorial: How to create a secure workspace with a managed virtual network: https://learn.microsoft.com/en-us/azure/machine-learning/tutorial-create-secure-workspace?view=azureml-api-2

CODE-EXPERIENCES & SAMPLES

  • Cross-compatible platform tools:
  • Azure Machine Learning studio
  • Python SDK (v2)
  • Azure CLI (v2))

  • Azure Resource Manager REST APIs

  • Azure SDK Releases: https://azure.github.io/azure-sdk/releases/latest/all/python.html

  • Azure ML Package client library for Python - version 1.11.1: https://learn.microsoft.com/en-us/python/api/overview/azure/ai-ml-readme?view=azure-python

  • azure-ai-ml Package: https://learn.microsoft.com/en-us/python/api/azure-ai-ml/?view=azure-python

  • Azure Machine Learning examples: https://github.com/Azure/azureml-examples/tree/main

  • Tutorials: https://github.com/Azure/azureml-examples/tree/main/tutorials

  • Set up Visual Studio Code desktop with the Azure Machine Learning extension (preview): https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-vs-code?view=azureml-api-2

MLOPS

  • MLOps: Model management, deployment, and monitoring with Azure Machine Learning: https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment?view=azureml-api-2

  • Git integration for Azure Machine Learning: https://learn.microsoft.com/en-us/azure/machine-learning/concept-train-model-git-integration?view=azureml-api-2&tabs=python

  • Set up MLOps with Azure DevOps: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-azureml?view=azureml-api-2&tabs=azure-shell

  • Azure MLOps (v2) Solution Accelerator: https://github.com/Azure/mlops-v2