Hey everyone marvin I'm trying to learn more about machine learning engineering (or the infamous MLOps acronymous), and I was wondering if anyone has some recommendations of resources, articles, books, videos, or tutorials I can follow along. I know that this is a vast area, with many terms and tools, but I'm looking to understand better how to consolidate these practices in a machine-learning project (with Prefect, of course). So far, I'm aware of: https://github.com/DataTalksClub/mlops-zoomcamp https://github.com/datarevenue-berlin/OpenMLOps But I would love to see more resources available out there. I really appreciate any help anyone can provide.