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Create a cross-account machine learning training and deployment environment with AWS Code Pipeline


A continuous integration and continuous delivery (CI/CD) pipeline helps you automate steps in your machine learning (ML) applications such as data ingestion, data preparation, feature engineering, modeling training, and model deployment. A pipeline across multiple AWS accounts improves security, agility, and resilience because an AWS account provides a natural security and access boundary for your AWS resources. This can keep your production environment safe and available for your customers while keeping training separate.
However, setting up the necessary AWS Identity and Access Management (IAM) permissions for a multi-account CI/CD pipeline for ML workloads can be difficult. AWS provides …

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