skill track
MLOps Fundamentals
Dive into the foundations of Machine Learning Operations (MLOps), learning the core concepts of productionizing and monitoring machine learning models to add business value! This skill track covers the complete life-cycle of a machine learning application, ranging from the gathering of business requirements to the design, development, deployment, operation, and maintenance stages. This track includes conceptual courses designed to help you expand your data science knowledge into the world of production machine learning software! Upon completion of the track, you'll be equipped with an MLOps mindset and will be deeply familiar with concepts such as CI/CD and CM/CT, experiment tracking, model registries, feature stores, and different deployment strategies. Additionally, you'll gain an understanding of critical elements of operating machine learning applications in production, such as data drift and model drift.
Theory14hrs4 coursesStatement of Accomplishment
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Training 2 or more people?
Try DataCamp for BusinessLoved by learners at thousands of companies
AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.Instructors
FAQs
Join over 15,080,000 learners and start MLOps Fundamentals today!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.