The majority of my MLOps experience has been inside of Azure. More and more of my clients are coming to us looking for open-source or local solutions – it made sense to take a deeper dive into MLOps outside of Azure.
Udemy course: https://udemy.com/course/sustainable-and-scalable-machine-learning-project-development/
My Notes: https://docs.google.com/document/d/1BJmdHvEG2vcnTBkdpRjFybIyXKr7Z6nCkzkSfoCeUJs/edit?usp=sharing
UPDATE: I bailed on much of the second half of the course. The instructor chose VERY specific tooling and cloud platforms, and his choices often didn’t coincide with where I wanted to go. Also, the “template” as he called it was just a mish-mash of stuff and there was little theory behind it. I did learn some new stuff about streamlit and fastapi, so I am happy about that.
