이 강의들을 수강한 후, 전문적인 시각화와 대시보드를 자신 있게 만들 수 있게 되었습니다
Shoebur Rahman구매 담당자, Giz Bangladesh
강의 설명
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.
선수 과목
이 강의에는 선수 과목이 없습니다
커리큘럼
강의 개요
1
Welcome to the Machine Learning Operations (MLOps): Getting Started
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.
3
Vertex AI and MLOps on Vertex AI
This module explores what Vertex AI is and why a unified platform matters.
4
Summary
Summary
R
Machine Learning Operations (MLOps): Getting Started
강의
완료
