MLOps

Last updated Sep 6, 2022

• Type atom
• Status needs revision
• On mlops
• On machine learning production

MLOps empowers data scientists and app developers to help bring ML models to production. MLOps enables you to track / version / audit / certify / re-use every asset in your ML lifecycle and provides orchestration services to streamline managing this lifecycle.

• MLOps Specialization

• DataTalksClub/mlops-zoomcamp: Free MLOps course from DataTalks.Club (github.com)
• Machine Learning for Data Science: Machine Learning Devops (udacity.com)
• CS 329S | Home (stanford-cs329s.github.io)
• Course | MLOps for Scaling TinyML | edX