Back to Machine Learning Operations (MLOps): Getting Started
Learner Reviews & Feedback for Machine Learning Operations (MLOps): Getting Started by Google Cloud
481 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.
>>> 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 <<<
Top reviews
JM
Dec 31, 2020
The content related to MLOps on GCP is quite good. If the labs were improved slightly to remove some of the bugs that are commonly posted in the message boards, this would be a 5 star.
RL
Jan 5, 2022
It's ok. There are example notebooks to understand the code. The pricing part is missing.
Filter by:
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