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AI Show: AzureML Registries - Enabling Better Collaboration and MLOps

AI Show: AzureML Registries - Enabling Better Collaboration and MLOps

20mIntermediate2023-05-03

Authors

Microsoft Learn

Microsoft Learn

Build Skills That Open Doors

Seth Juarez

Seth Juarez

Program Manager, Azure Artificial Intelligence Product Group at Microsoft

Course details

The AI Show is a licensed partnership with Microsoft Learn that showcases the amazing work happening in AI at Microsoft. In this episode, explore the pain points and challenges that accompany multi-environment MLOps and how Registries can help you overcome these obstacles. Registries are organization-wide repositories of machine learning assets such as models, environments, and components. Registries promote collaboration among data science teams by enabling discovery and reuse of ML models and related assets, improving productivity. Get an introduction to AzureML Registries and learn how they can enhance organization-wide sharing of ML assets, as well as how you can use Registries with AzureML to train, share, and deploy models across different workspaces. Plus, explore the latest features and techniques that enable better teamwork and operations.

Skills covered

Cloud DevelopmentMachine LearningAzureNetwork AdministrationCloud PlatformsArtificial Intelligence (AI)Network and System AdministrationCloud ComputingMicrosoftOne-Off

Concepts

1. AzureML Registries - Enabling Better Collaboration and MLOps

  • 01 - Introduction to Azure ML registries
  • 02 - Workspaces vs. registries
  • 03 - How to train and register the model
  • 04 - Learn more

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