Improve governance of your ML projects with Amazon SageMaker - AWS Virtual Workshop

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awsdevelopers
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Learning Objectives:
* Objective 1: Define custom permissions with Amazon SageMaker Role Manager
* Objective 2: Create a single source of truth for model information with Amazon SageMaker Model Cards
* Objective 3: Audit and troubleshoot all your models through a single view using Amazon SageMaker Model Dashboard

***To learn more about the services featured in this talk, please visit: https://aws.amazon.com/sagemaker/ml-governance/
****To download a copy of the slide deck from this webinar visit: https://pages.awscloud.com/Improve-governance-of-your-ML-projects-with-Amazon-SageMaker_2023_0214-VW-MCL_OD Subscribe to AWS Online Tech Talks On AWS:
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#AWS
Category
AWS Developers
Tags
Machine learning, Model governance, access management
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