Back to Machine Learning Operations (MLOps): Getting Started
Learner Reviews & Feedback for Machine Learning Operations (MLOps): Getting Started by Google Cloud
475 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
PL
Dec 11, 2020
Course content was good. However, many of the Qwiklabs had bugs, resulting in not being able to complete the course with a grade of 100%.
JS
Jul 16, 2023
Good starter on basic MLOps on GCP for those who want a quick dive and a hands on project
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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