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