Azure Machine Learning

by
David Berry

by
David Berry

David has over two decades of architecture and delivery experience across Fortune 1000 and public sector enterprises with Avanade, Booz... more

Azure Machine Learning is Microsoft’s enterprise AI engineering and machine learning operations (MLOps) platform. ML professionals, data scientists, and engineers use it to train and deploy models, manage MLOps, and monitor traditional machine learning and generative AI models, including small language models (SLMs) for business. Machine Learning provides managed infrastructure for custom model training, deployment, monitoring, and MLOps. It also supports selected generative AI capabilities, including access to Foundry Models, model fine-tuning, evaluation, and managed endpoints but Microsoft Foundry is the primary platform for generative AI.

Product: Machine Learning

Licensing: Machine Learning

Near-Term Roadmap (Mid-2026–2027)

Azure Machine Learning addresses the growing challenge of moving AI models through a managed life cycle from development into secure, managed, and repeatable production for business use. Microsoft is increasingly aligning Azure Machine Learning with Foundry and Fabric, signaling a long-term commitment to an integrated AI ecosystem. The primary risks are cost unpredictability, evolving governance requirements, and continued overlap among Microsoft’s AI platforms, which may complicate technology decisions.