You can start by removing "machine learning" from "machine learning API", and learn how to build APIs and add authentication (tokens, oauth, jwt, etc.). There was a recent thread on HN on API building that you can check out.
Also, most courses/blog posts are crap because they're mostly written by data virgins. I blocked the biggest Medium publication about data science and machine learning from my search results using an extension because they allow pretty much anyone to publish there about end-to-end ML/deployment/MLOps/ML project lifecycle, etc.
This is not obvious and many are catching up on the MLOps movement. There are sadly more people writing about it than people actually doing it. I would have loved if it were not the case, as we are in that field as well and had to build our machine learning platform.
