MLOps Specialization - Back to School
Published on: Mar 13, 2023Filed under: Technology
I've reached the point in my machine learning education where I'm feeling pretty comfortable working in Jupyter Notebooks. That is, I'm comfortable prototyping and building models. I feel like that's a pretty good place for a product manager, but my goal isn't product management, it's production.
Based on the few projects I've deployed here (and I've got a new one coming this week), I'm doing okay at getting small scale machine learning applications deployed [1][2]. But my mind operates at scale, and scale introduces a ton of new challenges.
So, I as I have so many other times in my ML journey, I turned to Andrew Ng [3] and DeepLearning.AI [4] to get a foundational layer of knowledge. This time, I'm returning for the MLOps Specalization.
Estimated time to complete: 4 months
Goal: 3 months