guidance on building ML pipelines with Sagemaker

I am researching building ML pipelines for our models. I came across this repository from awslabs:

https://github.com/awslabs/mlmax/tree/main/modules/pipeline

The ReadMe says- "ML Max is a set of example templates to accelerate the delivery of custom ML solutions to production so you can get started quickly without having to make too many design choices."

The repository has not been updated in 3 years so was wondering if these recommendation still hold true or if there are other recommendations?

At a high level here is my usecase:

• model training will happen once a week
• prediction is run every 5 minutes