AWS Public Sector Blog
Author: Luis Gerardo Baeza
Luis Gerardo Baeza is a solutions architect at Amazon Web Services (AWS). He has 10 years of experience in business process transformation, enterprise architecture, agile methodologies adoption, and cloud technologies integration. Luis has worked with education, healthcare, retail, and insurance companies in México and Chile.
How to manage Amazon SageMaker code with AWS CodeCommit
To help protect investments on ML, government organizations can securely store ML source code. Storing Amazon SageMaker Studio code in an AWS CodeCommit repository enables you to keep them as standalone documents to reuse in the future. SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps required to prepare data and build, train, and deploy models. Read on to learn the steps to configure a git-based repository on CodeCommit to manage ML code developed with SageMaker.