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I recently did a deep-dive into MLOps for a client, and I've found that https://ml-ops.org/ offers a great overview. Some topics are a bit too "zoomed out", but they still touch on most important aspects of building an end-to-end product. I found it a great starting point when doing research, and picking and choosing some key points from each section + some google helped a lot. Give it a look, you'll probably find some useful things in there.
Hey, great find! However, it only explains concepts but not how to actually use any tool. I personally use DVC, but it's more focused on the model development/engineering phase. The different phases of ML are also done independently, which makes it even more difficult for an individual to have exposure to all the different areas. Moreover, the lack of standard tools and best practices makes it difficult, and the fact that every ML problem is different.