Sagemaker MLOs pipeline with integrated inference pipeline model

[muntasirhsn]

I would like to use the sagemaker pipeline (CI/CD) for model training, registering and creating real-time endpoints with the abalone model as a template.

However, the endpoint created from the process cannot be used for raw inference data. So I'm using the inference pipeline to combine Scikit-learn data processor and trained xgbmodel from 'S3/model.tar.gz' to create a pipeline model and use the endpoint for raw inference data as demonstrated in this example

I was wondering if there is an example for integrating the inference pipeline model in the sagemaker ci/cd pipeline? This way, we can directly register the inference pipeline model and create the endpoint for inference on raw/unprocessed data.

Sagemake services involved:

1. Sagemaker ci/cd pipeline for mlops
2. Sagemaker inference pipeline with Scikit-learn preprocessor and inference model

[muntasirhsn]

I've found a recent demonstration for training, registering and deploying a pipeline model in sagemaker. Closing the issue.