Welcome to Azure AI Machine Learning
Azure AI Machine Learning provides a fully managed, end‑to‑end platform for building, training, and deploying machine learning models at scale. Whether you're a data scientist, ML engineer, or developer, Azure ML gives you the tools you need to turn data into actionable insights.
Key Features
Automated ML
Automatically discover the best algorithm and hyperparameters for your data.
Designer (Drag‑and‑Drop)
Create pipelines with a visual interface, no code required.
Experiment Tracking
Log metrics, artifacts, and compare runs in a unified workspace.
Model Registry
Version and manage models securely across the lifecycle.
ML Ops & CI/CD
Integrate with Azure DevOps, GitHub Actions, or your favorite CI pipeline.
Deploy Anywhere
Deploy to Azure Kubernetes Service, Azure Container Instances, or edge devices.
Getting Started
Kick off your machine‑learning journey with our quickstart guide. The steps below will help you set up a workspace, run your first experiment, and deploy a model.
# Install the Azure ML SDK
pip install azureml-core
# Create a workspace
az ml workspace create -w myworkspace -g myresourcegroup
# Run a sample experiment
az ml experiment create -n hello-world