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Azure Machine Learning

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Azure Machine Learning

Last updated on February 15, 2026

Azure Machine Learning Cheat Sheet

  • A service to train, deploy, automate, manage, and track machine learning models.
  • There is no additional charge for Azure Machine Learning; you pay only for underlying compute, storage, and other consumed Azure services.
  • You can use Azure ML SDK for Python, Azure ML Studio, and ML CLI to manage your deployed models.
  • You can automate and accelerate the ML lifecycle using MLOps.
  • Azure ML designer allows you to visually connect (drag-and-drop) datasets and modules without writing any code.
  • ML pipelines provide a complete logical workflow and an ordered sequence of steps.
  • Tutorials dojo strip
  • AutoML uses the target metric you specify to train and tune a model.
  • Model catalog: Discover, fine-tune, and deploy foundation models from Microsoft, OpenAI, Hugging Face, Meta, Cohere, and more.
  • Prompt flow: Design, construct, evaluate, and deploy large language model (LLM) workflows.
  • Serverless Spark compute: Quickly iterate data preparation on Apache Spark clusters, interoperable with Microsoft Fabric.
  • Feature store: Make features discoverable and reusable across workspaces to increase model shipping agility.
  • Managed endpoints: Operationalize model deployment, log metrics, and perform safe model rollouts.
  • Responsible AI tools: Assess model fairness, mitigate bias, and build interpretable AI solutions.

azure machine learning

  • Azure Cognitive Services enables developers to build cognitive intelligent applications without having AI or data science skills. The following are the Azure Cognitive REST APIs that you can use:
    • Vision, Speech, Language, Search, and Decision APIs.

Azure Bot Service 

  • Build a bot that uses natural language and speech capabilities to communicate with your users.
  • You can integrate Bot Service across multiple communication channels such as Microsoft Teams, Slack, and Facebook Messenger.
  • Use Bot Framework Composer if you need a visual editing canvas for conversation flows.
  • With Bot Framework SDK, you can create a bot that uses speech, understands natural language, and handle questions and answers.

 

Azure Machine Learning Cheat Sheet References:

https://docs.microsoft.com/en-us/azure/machine-learning/overview-what-is-azure-ml
https://azure.microsoft.com/en-us/services/machine-learning/

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Written by: Jon Bonso

Jon Bonso is the co-founder of Tutorials Dojo, an EdTech startup and an AWS Digital Training Partner that provides high-quality educational materials in the cloud computing space. He graduated from Mapúa Institute of Technology in 2007 with a bachelor's degree in Information Technology. Jon holds 10 AWS Certifications and is also an active AWS Community Builder since 2020.

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