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.
- 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 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 ServiceÂ
- 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/













