developer-roadmap/roadmaps/forward-deployed-engineer/content/mlops@3bAZD-MgDbLu5Tds2Jvv2.md

MLOps

MLOps applies DevOps principles to machine learning systems, covering the processes and tooling needed to reliably build, deploy, monitor, and update ML models in production. This includes versioning data and models, automating training pipelines, serving inference at scale, and detecting model degradation over time.

Visit the following resources to learn more:

• @article@What is MLOps?
• @article@Machine Learning Operations (MLOps) For Beginners
• @article@MLOps: What It Is, Why It Matters, and How to Implement It
• @video@MLOps Course – Build Machine Learning Production Grade Projects