返回到 Machine Learning Operations (MLOps): Getting Started
学生对 Google Cloud 提供的 Machine Learning Operations (MLOps): Getting Started 的评价和反馈
476 个评分
课程概述
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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热门审阅
RL
Jan 5, 2022
It's ok. There are example notebooks to understand the code. The pricing part is missing.
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 - Machine Learning Operations (MLOps): Getting Started 的 127 个评论（共 127 个）
创建者 Yannick P
•Sep 22, 2021
You should really give simpler examples
创建者 Mohit S
•Apr 26, 2025
Bad one, better use something else