Create an Azure machine learning workspace To get started, you’ll need to create an Azure ML Studio workspace. There are two major routes for doing this.

Azure Percept gives you access to affordable hardware that’s ready to work with containerized machine learning models, with a focus on a limited set of scenarios.

Within Azure, they can use various tools to automate their machine learning workflows, such as Prompt Flow, a tool for streamlining the development of AI apps built on large language models (LLMs ...

Azure Machine Learning AML is a set of cloud services combined with an AML studio interface and also an SDK which brings together the power of what you need to build services and take them into ...

To spot faults quickly even if they take a month to show up, Azure feeds signals into a machine learning system: in the future, you will be able to do that for your own cloud workloads.

Azure, AWS and Google Cloud are all betting AI and machine learning will differentiate them. Microsoft Azure: Everything you need to know about Redmond's cloud service ...