Best way to pivot into AI/ML as a non-dev engineer?

I’m a biomedical engineer with a Masters, working in the Medical device industry for over a decade now. I have an interest in learning AI/ML to pivot my career. I know some basic python but I’m not a developer by any means. Most of my career is in the product/design quality engineering and regulatory compliance side of the business. Currently my role is in Failure Analysis for software medical devices.

I’ve considered taking the Google Cloud ML Engineer related courses to get the certification, but I’m not sure if it will actually help pivot me into this field. Perhaps my focus should be more on the MLOps side of things as it may be an easier leap?

I want to make a jump due a higher salary ceiling for AI/ML roles and I also have a genuine interest in automation.

Overall just a bit confused and wanted to know what are the best options to pursue, and path to follow. Any guidance from folks who pivoted from other non-dev engineering would be super helpful. Thanks!