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Learn Live - Azure ML Enterprise Deployment
Full series information: https://aka.ms/learnlive-202302FT More info here: https://aka.ms/learnlive-202302FT-Ep1 Follow on Microsoft Learn: In this session you will learn how to design and implement Azure Machine Learning (AzureML) using enterprise deployment features, so you can create a secure configuration that is compliant with your companies' policies Enterprise security and governance for AzureML. --------------------- Learning objectives
  • Understand the concept of Training modules within AzureML CLI, SDK, and REST API
  • Understand ML model lifecycle management leveraging AzureML Python SDK V2 and ML Studio
--------------------- Chapters -------- 00:00 - Introduction 01:13 - Collection 01:42 - Agenda 05:26 - Azure Machine Learning overview 10:28 - Demo - AzureML workspace creation 18:36 - Workspace planning 36:42 - Azure Machine Learning registries 48:32 - Enterprise Security 57:14 - Custom Roles 1:04:12 - Recommended Network architecture 1:18:49 - Disaster Recovery 1:22:20 - Policy 1:22:29 - Monitoring 1:27:30 - Summary and conclusion --------------------- Presenters Kris Bock Machine Learning/Data Science, Azure FastTrack Engineering Microsoft Varma Gadhiraju Senior FastTrack Engineer, Azure Data Analytics and Machine Learning Microsoft Moderators Keita Onabuta Senior Customer Engineer for AI/ML, FastTrack for Azure Microsoft

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Microsoft Developer

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