Build, train, and deploy enterprise-scale ML models with Azure Machine Learning
End-to-end machine learning lifecycle management
High scalability and robust AI infrastructure
Built-in security and compliance features
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#Development & CodeAzure Machine Learning is an enterprise-grade service for the end-to-end machine learning lifecycle. It enables users to build, train, and deploy ML models at scale with robust AI infrastructure, streamlined workflows, and built-in security and compliance. The service supports automated machine learning, managed endpoints, and responsible AI practices, empowering organizations to operationalize their AI and ML initiatives efficiently.
- Global Infrastructure: Azure operates in multiple datacenter regions, delivering reliable and scalable cloud solutions worldwide.
- AI + Machine Learning: Comprehensive services including Azure Machine Learning, Azure AI Services, Azure OpenAI Service, and tools for building and deploying language models.
- Compute Services: Offers versatile computing options such as Azure Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, and Azure Container Apps.
- Data Analytics: Advanced analytics capabilities with products like Azure Synapse Analytics, Azure Databricks, and Azure Data Explorer for end-to-end data processing and analysis.
- Hybrid + Multicloud: Supports hybrid and multicloud environments through Azure Arc, Azure Stack, and seamless integration with on-premises infrastructure.
- Application Development: Robust tools for DevOps, serverless computing, and low-code development, facilitating modern application creation and deployment.
- Cloud Migration and Modernization: Assist businesses in migrating and modernizing their applications with specialized solutions for SQL Server, .NET apps, and SAP on the cloud.
- Security and Compliance: One of the largest compliance certification portfolios and a $20 billion investment in cybersecurity with over 8,500 security experts globally.
- Economical Pricing: Flexible purchase options, comprehensive pricing tools, and free Azure services to optimize costs and start at no upfront cost.
- Customer Enablement: Resources including training and certifications, customer stories, and technical support to help users maximize their Azure experience.
- Developer and IT Resources: Extensive documentation, quickstart templates, developer communities, and resources for startups to accelerate development.
- Azure Marketplace: A platform to find or become a partner, adding value through a rich ecosystem of integrated solutions and services.
Azure Machine Learning
Build, train, and deploy enterprise-scale ML models with Azure Machine Learning
Key Features
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