At the risk of self promoting, I have been teaching a (selective and somewhat basic) course on MLOps since 2020: https://github.com/thejat/mlops-notebooks/blob/master/Syllab...

This has been my "bible" for the last 2-3 years...

https://cloud.google.com/architecture/mlops-continuous-deliv...

It covers differing levels of maturity, with the Maturity Level 0 being what the op was mentioning. Our team is trying to dig out of Level 1 to Level 2.

Andrew Ng has a series of courses on Coursera

https://www.coursera.org/specializations/machine-learning-en...

Even the free videos are valuable if you do not have experience deploying real world systems.

AWS has SageMaker Pipelines, which you can spin up into a default MLOps setup through the SageMaker Studio -> Projects -> Default Projects(?) flow. It's a bunch of stuff effectively vended through Service Catalog, so you're free to modify and inspect it all.

Check out https://mlops.community/ as well. The slack community is pretty active too.

surprised no one has said anything about the MLOps community yet