Azure Machine Learning

Azure Machine Learning is an enterprise-grade cloud service for building, training, deploying, and managing machine learning models. It supports the full ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring with MLOps capabilities.

1 APIs 6 Features

AIAzureMachine LearningMLOpsModel DeploymentModel Training

APIs

Azure Machine Learning REST API

Azure Machine Learning REST API provides management of ML workspaces, compute resources, datasets, experiments, models, and endpoints. It supports the full ML lifecycle includin...

Collections

Azure Machine Learning REST API

OPEN

Pricing Plans

Microsoft Azure Machine Learning Plans Pricing

3 plans

PLANS

Rate Limits

Microsoft Azure Machine Learning Rate Limits

5 limits

RATE LIMITS

FinOps

Microsoft Azure Machine Learning Finops

FINOPS

Features

Workspace Management

Create and manage Azure ML workspaces as the top-level resource for ML assets and experiments.

Compute Resources

Provision and manage compute clusters, compute instances, and Kubernetes-attached compute targets.

Model Training

Run training jobs at scale with automated ML, distributed training, and hyperparameter tuning.

Model Deployment

Deploy models as managed online endpoints, batch endpoints, or to Kubernetes for real-time and batch inference.

MLOps and Pipelines

Build reproducible ML pipelines with versioning, CI/CD integration, and model registry capabilities.

Responsible AI

Use built-in tools for fairness assessment, interpretability, and model monitoring across the lifecycle.

Use Cases

Predictive Analytics

Build and deploy predictive models for forecasting, classification, and regression scenarios.

Computer Vision

Train and deploy image classification, object detection, and segmentation models.

Natural Language Processing

Build NLP models for text classification, entity recognition, and sentiment analysis.

MLOps and Production ML

Operationalize ML models with automated training pipelines, deployment, and monitoring.

Integrations

Azure Storage

Store training data, models, and experiment artifacts in Azure Blob Storage and Data Lake.

Azure Kubernetes Service

Deploy ML models to AKS for production-grade inference at scale.

Azure DevOps

Integrate ML pipelines with Azure DevOps for continuous integration and deployment.

GitHub Actions

Automate ML workflows with GitHub Actions for training and deployment automation.

Power BI

Consume ML model predictions in Power BI dashboards and reports.

Resources

👥

GitHubOrganization

Sources

opencollection: 1.0.0
info:
  name: Azure Machine Learning REST API
  version: '2024-01-01'
request:
  auth:
    type: oauth2
    flow: implicit
    authorizationUrl: https://login.microsoftonline.com/common/oauth2/authorize
    credentials:
      clientId: '{{clientId}}'
items:
- info:
    name: Operations
    type: folder
  items:
  - info:
      name: Azure Machine Learning REST API List operations
      type: http
    http:
      method: GET
      url: https://management.azure.com/providers/Microsoft.MachineLearningServices/operations
      params:
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
    docs: Lists all available REST API operations for Microsoft.MachineLearningServices.
- info:
    name: Workspaces
    type: folder
  items:
  - info:
      name: Azure Machine Learning REST API List by subscription
      type: http
    http:
      method: GET
      url: https://management.azure.com/subscriptions/:subscriptionId/providers/Microsoft.MachineLearningServices/workspaces
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
    docs: Lists all workspaces resources within the specified subscription.
  - info:
      name: Azure Machine Learning REST API List by resource group
      type: http
    http:
      method: GET
      url: https://management.azure.com/subscriptions/:subscriptionId/resourceGroups/:resourceGroupName/providers/Microsoft.MachineLearningServices/workspaces
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: resourceGroupName
        value: ''
        type: path
        description: The name of the resource group.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
    docs: Lists all workspaces resources within the specified resource group.
  - info:
      name: Azure Machine Learning REST API Get resource
      type: http
    http:
      method: GET
      url: https://management.azure.com/subscriptions/:subscriptionId/resourceGroups/:resourceGroupName/providers/Microsoft.MachineLearningServices/workspaces/:name
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: resourceGroupName
        value: ''
        type: path
        description: The name of the resource group.
      - name: name
        value: ''
        type: path
        description: Name of the resource.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
    docs: Gets a specific workspaces resource.
  - info:
      name: Azure Machine Learning REST API Create or update resource
      type: http
    http:
      method: PUT
      url: https://management.azure.com/subscriptions/:subscriptionId/resourceGroups/:resourceGroupName/providers/Microsoft.MachineLearningServices/workspaces/:name
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: resourceGroupName
        value: ''
        type: path
        description: The name of the resource group.
      - name: name
        value: ''
        type: path
        description: Name of the resource.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
      body:
        type: json
        data: '{}'
    docs: Creates or updates a workspaces resource.
  - info:
      name: Azure Machine Learning REST API Update resource
      type: http
    http:
      method: PATCH
      url: https://management.azure.com/subscriptions/:subscriptionId/resourceGroups/:resourceGroupName/providers/Microsoft.MachineLearningServices/workspaces/:name
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: resourceGroupName
        value: ''
        type: path
        description: The name of the resource group.
      - name: name
        value: ''
        type: path
        description: Name of the resource.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
      body:
        type: json
        data: '{}'
    docs: Updates a workspaces resource.
  - info:
      name: Azure Machine Learning REST API Delete resource
      type: http
    http:
      method: DELETE
      url: https://management.azure.com/subscriptions/:subscriptionId/resourceGroups/:resourceGroupName/providers/Microsoft.MachineLearningServices/workspaces/:name
      params:
      - name: subscriptionId
        value: ''
        type: path
        description: The ID of the target subscription.
      - name: resourceGroupName
        value: ''
        type: path
        description: The name of the resource group.
      - name: name
        value: ''
        type: path
        description: Name of the resource.
      - name: api-version
        value: ''
        type: query
        description: The API version to use for this operation.
    docs: Deletes a workspaces resource.
bundled: true