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课程

Machine Learning Operations (MLOps): Getting Started

中级4 小时 30 分钟

Learn MLOps tools and best practices for deploying, evaluating, monitoring and operating production ML systems on Google Cloud.

R4 小时 30 分钟11 个视频23 个练习1,200 XP109成就证明

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课程简介

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.

先修要求

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课程体系

课程大纲

1

Welcome to the Machine Learning Operations (MLOps): Getting Started

This module provides the overview of the course
开始本章
2

Employing Machine Learning Operations

This module identifies ML practitioners' pain points before exploring the concept of DevOps in ML. You're introduced to the three phases of the ML lifecycle and automating the ML process.
开始本章
R

Machine Learning Operations (MLOps): Getting Started

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