{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Provides a Python client library for interacting with Azure Machine Learning services, enabling job submission, pipeline orchestration, model management, and AutoML training across multiple task types.","skillfed_tags":["azure-sdk","automl","mlops"],"use_cases":["Submit and monitor standalone training jobs (Python, R, shell scripts) to Azure compute without local execution","Build reusable ML pipeline components and orchestrate multi-step workflows with parameter sweeps","Run AutoML experiments for tabular classification, regression, time-series forecasting, or vision/NLP tasks","Deploy trained models to managed online endpoints for real-time inference or batch endpoints for bulk scoring","Manage Azure ML workspace resources (compute clusters, datastores, environments) programmatically"],"what_it_does":"Azure ML is the official Python SDK v2 for Azure Machine Learning, providing a unified client interface (MLClient) to create, manage, and execute machine learning workloads on Azure. It abstracts Azure ML resources\u2014jobs, models, components, compute clusters, datastores\u2014into Python objects that can be created programmatically or loaded from YAML, validated against schemas, and submitted to the service via authenticated REST calls.\n\nThe SDK supports standalone jobs (command, sweep), reusable pipeline components, AutoML for classification/regression/forecasting/vision/NLP tasks, managed online and batch inference endpoints, and resource lifecycle management. It depends on azure-core, azure-mgmt-core, azure-storage-blob, and related Azure libraries for authentication, HTTP communication, and data access. Telemetry is collected in Jupyter environments by default but can be disabled.","worth_installing":"Yes. The package is production-stable (v2 GA), actively maintained, has no known vulnerabilities, and low install friction. Install it if you need to programmatically interact with Azure Machine Learning services\u2014it is the official and recommended SDK for that purpose. Verify your Azure subscription and workspace setup before use."},"id":"azure-ai-ml","links":{"html":"https://skillfed.io/packages/azure-ai-ml","md":"https://skillfed.io/packages/azure-ai-ml.md","pypi":"https://pypi.org/project/azure-ai-ml/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-07-14","license_spdx":"MIT","license_treatment":"permissive","name":"azure-ai-ml","python_support":"supports_current","summary":"Microsoft Azure Machine Learning Client Library for Python"},"popularity":{"monthly_downloads":4141760,"position":2371,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"1.34.1"}