Comment on page
MLOps Intro

1.A great intro about MLOPs, what are the basic building blocks that you need to understand, in comparison to Data Engineering & DevOps - by Andrew Blance.
2.​Awesome MLOPs on github​
3.Analytics Vidhya
​A list of MLOps articles base on the "MLOps" label​
​A beginner guide​
​A comprehensive guide - there are quite a lot of details in this article that you should know only if you truely know the basics of ML lifecycle, feature engineering, deployment strategies etc.
A two part series about MLOPs - Part 1: connecting agile, data, devops, and  technology. Part 2: going deeper into architecture, deployment, training.
MLOps vs DevOps 
​The tip of the iceberg i.e., adding model + data to DevOps methodologies.
​Another comparison, has some more details - ML challenges, components
​MLOps & Kubernetes  - a very sparse intro
​High level E2E architecture and explanations​
​High level E2E concepts​
4.MLOps without Ops series Part 1, Part 2, Part 3, Part 4​
5.​As an engineering discipline​
Ops Definition Comparisons
Next - MLOps
MLOps Teams
Last modified 7mo ago