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> Azure Machine Learning (PaaS) is a cloud-based platform from Microsoft designed to help `data scientists and machine learning engineers build, train, deploy, and manage machine learning models at scale`. It supports the `entire machine learning lifecycle, from data preparation and experimentation to deployment and monitoring.` It provides powerful tools for `both code-first and low-code users`, including Jupyter notebooks, drag-and-drop interfaces, and automated machine learning (AutoML). `Azure ML integrates seamlessly with other Azure services and supports popular frameworks like TensorFlow, PyTorch, and Scikit-learn.`

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<summary><b>List of References </b> (Click to expand)</summary>
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> Azure Machine Learning (PaaS) is a cloud-based platform from Microsoft designed to help `data scientists and machine learning engineers build, train, deploy, and manage machine learning models at scale`. It supports the `entire machine learning lifecycle, from data preparation and experimentation to deployment and monitoring.` It provides powerful tools for `both code-first and low-code users`, including Jupyter notebooks, drag-and-drop interfaces, and automated machine learning (AutoML). `Azure ML integrates seamlessly with other Azure services and supports popular frameworks like TensorFlow, PyTorch, and Scikit-learn.`
> Topics:

- [Demostration: How to integrate AI in Microsoft Fabric](./msFabric-AI_integration/)

https://github.com/user-attachments/assets/c199156f-96cf-4ed0-a8b5-c88db3e7a552

| Feature / Platform | Azure Machine Learning | Microsoft Fabric | Azure AI Foundry |
| Feature / Platform | Azure Machine Learning | [Microsoft Fabric](./msFabric-AI_integration) | Azure AI Foundry |
|--------------------------|----------------------------------------------------------|-----------------------------------------------------------|-----------------------------------------------------------|
| **Purpose** | End-to-end ML lifecycle management and MLOps | Unified data analytics and business intelligence platform | Unified platform for building and deploying AI solutions |
| **Model Deployment** | Supports real-time and batch deployment via AKS, ACI | Limited ML deployment; integrates with Azure ML | Deploys models as APIs or services within projects |
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