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A Beginner-Friendly Introduction to MLOps
A first step to MLOps
I have been interested in MLOps for a while now. I first learned about it from machine learning engineers, and as I was a PhD student at the time, I was not aware of its existence. However, my curiosity was piqued and I began learning about it. Looking back, I regret not learning about it sooner in order to optimize my machine learning workflow.
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In this article, I will attempt to provide a beginner-friendly introduction to MLOps and explain the key concepts in a simple way. As someone who also found it challenging to understand at first, I understand the need for a simpler introduction to this topic. My hope is that after reading this article, a beginner will feel more comfortable reading more advanced documentation on MLOps.
Table of contents:
· 1. Motivation towards MLOps
· 2. Definition
· 3. MLOps lifecycle
· 4. MLOps workflow
∘ 4.1. Business Problem
∘ 4.2. Data Engineering
∘ 4.3. ML model Engineering
∘ 4.4. Code Engineering
· 5. Conclusion
