Back to MLOps (Machine Learning Operations) Fundamentals
Learner Reviews & Feedback for MLOps (Machine Learning Operations) Fundamentals by Google Cloud
About the Course
This course introduces participants to MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud. MLOps is a discipline focused on the deployment, testing, monitoring, and automation of ML systems in production. Machine Learning Engineering professionals use tools for continuous improvement and evaluation of deployed models. They work with (or can be) Data Scientists, who develop models, to enable velocity and rigor in deploying the best performing models.
This course is primarily intended for the following participants:
Data Scientists looking to quickly go from machine learning prototype to production to deliver business impact.
Software Engineers looking to develop Machine Learning Engineering skills.
ML Engineers who want to adopt Google Cloud for their ML production projects.
>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<
Filter by:
1 - 2 of 2 Reviews for MLOps (Machine Learning Operations) Fundamentals
By Surachart O
•Nov 12, 2020
Great course to start for learning about MLOps. However, I hope there will have more videos to explain details on LABs.
By nerisha s
•Nov 30, 2020
Accent is difficult to understand. Speaks to quickly. Cannot read subtitles and course content at the same time.
Coursera Footer
© 2020 Coursera Inc. All rights reserved.
