Back to Machine Learning Operations (MLOps): Getting Started
Learner Reviews & Feedback for Machine Learning Operations (MLOps): Getting Started by Google Cloud
474 ratings
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.
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Top reviews
AK
Feb 20, 2021
Loved the content, labs, and regularly intervened quiz. The only suggestion is that, for Juniper Labs, a detailed video solution would have added more value to this course.
SC
Jul 6, 2021
Well designed course with Qwiklabs hands-on experience, awesome learning. Thanks to Google Cloud Team and Coursera
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126 - 127 of 127 Reviews for Machine Learning Operations (MLOps): Getting Started
By Yannick P
•Sep 22, 2021
You should really give simpler examples
By Mohit S
•Apr 26, 2025
Bad one, better use something else