How to learn MLOps

Coursera and Andrew Ng have launched a new course on machine learning engineering for production or MLOps.

It is made up of four sub-courses. Some topics covered include:

  • Data pipelines
  • Feature engineering
  • Data labelling
  • Model serving and scaling
  • Model monitoring

I’ve enjoyed some of Prof Ngs other courses, so this promises to be good as well. I think the difficulty will be keeping it up-to-date and also relevant for the Googles of the world alongside the non-Googles of the world. If anybody takes the course, please let me know what you think.

It varies from person to person, but I know I tend to learn better from doing than a course like this. But I may dip into parts of it to see what I’m doing wrong!

🛎️ Why this matters: MLOps is the new black. Learn how to pull it off here!

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