このコースでは、Google Cloud 上で本番環境の ML システムをデプロイ、評価、モニタリング、運用するための MLOps ツールとベスト プラクティスについて説明します。MLOps は、本番環境 ML システムのデプロイ、テスト、モニタリング、自動化に重点を置いた規範です。
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There are 4 modules in this course
コースの概要。
What's included
1 video
Vertex AI とその MLOps 機能。データに関する主な課題とそれらの課題を軽減するためのソリューション。
What's included
3 videos
Vertex AI Feature Store の主な機能。
What's included
4 videos1 app item
このコースのまとめ。
What's included
1 video
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Duke University
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.