MLOps: Overview

Welcome to my MLOps blog series! I’m Raghu Hemadri, a machine learning researcher focusing on Large Language Models (LLMs) and Reinforcement Learning (RL). This series draws from my experience in an MLOps course led by Professor Fraida Fund, an expert in scaling ML models for production.

Throughout these posts, I’ll walk you through essential MLOps concepts—from automation and model deployment to monitoring and workflow management. My goal is to share practical insights that will help you build and maintain production-ready ML systems. Stay tuned!

Course webpage:

https://ffund.github.io/ml-sys-ops/

Disclaimer:

This blog series is based on concepts covered in ECE-GY 9183: Machine Learning Systems Engineering and Operations, taught by Prof. Fraida Fund. While it serves as an additional reference, it is not a substitute for the official course materials, lectures, or discussions. Students taking this course are strongly encouraged to follow the class and its content diligently. This blog should be used only as a supplementary resource to reinforce understanding, not as a primary learning source.