Azure Machine Learning
Use an enterprise-grade service for the end-to-end machine learning lifecycle.
Overview
Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals, data scientists, and engineers can use it in their day-to-day workflows: Train and deploy models, and manage MLOps. You can create a model in Azure Machine Learning or use a model built from an open-source platform, such as Pytorch, TensorFlow, or scikit-learn. MLOps tools help you monitor, retrain, and redeploy models.
Key Resources
News
| Date | News |
|---|---|
| 3/31/2025 |
Starting on June 30, 2026, Azure Machine Learning Software
Development Kit version 1 (SDK v1) will no longer be supported. Required action To avoid service disruptions, you’ll need to migrate...
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| 3/25/2025 |
Did you attend a Microsoft AI Tour stop? Did you enjoy the content delivered?
Did you know that the same technical presentations, open-source curriculum, and hands-on workshops you experienced...
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| 3/24/2025 |
Dopo il successo del Global AI Bootcamp Milan dello scorso 12 Marzo, siamo entusiasti di annunciare un altro imperdibile evento nel Sud della penisola, organizzato nell’ambito dell’iniziativa...
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| 3/20/2025 |
Java remains a cornerstone in today’s AI-driven world, offering scalability, high performance, and seamless integration for enterprise applications. Microsoft continues its commitment to Java...
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| 2/11/2025 |
What is Azure CycleCloud?
Azure CycleCloud is an enterprise-friendly tool for orchestrating and managing HPC environments on Azure. With Azure CycleCloud, users can provision infrastructure for...
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| 12/10/2024 |
Solutions idea
This solution series shows some examples of how Azure OpenAI and its LLM models can be used on Operations and FinOps issues. With a view to the use of models linked to the...
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| 11/26/2024 |
In a recent blog, we outlined what Azure Essentials is and why it matters. This blog will take a closer look at how Azure Essentials helps organizations build and modernize AI applications. We...
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| 11/26/2024 |
In today's article, we want to present a completely free course from Microsoft, which is a real gem for those who want to learn Node.js.
We'll be distilling the course content and providing an...
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| 11/19/2024 |
Java on Microsoft Azure
Java customers and developers are constantly exploring how they can bring their Java applications to the cloud. Some are looking to modernize existing applications, while...
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| 10/10/2024 |
For the first time, Microsoft was a sponsor of the annual Pytorch conference. At our booth, we met a huge range of developers, from startups, academia, industry, and even a few Pytorch...
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| 7/31/2024 |
Mastering your AI adoption: Essentials to building, operating and optimizing genAI workloads on Azure
As the demand for scalable, efficient AI cloud solutions grows, many organizations are...
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| 7/19/2024 |
Pre-Job Health Checks on AKS: A Guide to Stable AI Workloads
Introduction
In the realm of AI workloads, ensuring the health and stability of compute nodes is critical. Training large AI...
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| 6/25/2024 |
Microsoft is a Leader in this year’s Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Azure AI provides a powerful, flexible end-to-end platform for accelerating data...
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| 6/25/2024 |
Microsoft is a Leader in this year’s Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. Azure AI provides a powerful, flexible end-to-end platform for accelerating data...
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| 5/21/2024 |
Three features now available in preview enable you to enjoy simplified management of the customer-managed key (CMK) encrypted workspace, take advantage of our content filtering system alongside...
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| 5/21/2024 |
One new feature now available in GA enables you to create and customize AI workflows using task-specific Language skills/models to complete business use cases.
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