techiescamp/mlops-for-devops
MLOps for DevOps Engineers - A hands-on, project-based guide to Machine Learning Operations
This project provides a comprehensive, hands-on guide for DevOps, Platform, and SRE engineers to build and operate machine learning (ML) systems in production. It translates your existing operational knowledge to ML contexts, showing you how to manage the lifecycle of an ML model from raw data to a live API on Kubernetes. You'll learn to integrate ML workflows using tools like Docker, Airflow, and KServe.
237 stars.
Use this if you are a DevOps, Platform, or SRE engineer looking to gain practical skills in operating and orchestrating machine learning workloads without needing prior ML expertise.
Not ideal if you are a data scientist primarily interested in ML model development or a developer seeking a high-level theoretical overview of MLOps.
Stars
237
Forks
102
Language
Python
License
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Category
Last pushed
Mar 19, 2026
Commits (30d)
0
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