6240 - 設計機器學習平台與系統架構

Machine Learning Solutions Architecture Design

教育目標 Course Target

本課程旨在使學生掌握Linux操作系統及其網路設置,並深入了解容器技術及其集群管理。學生將學會使用Docker和Kubernetes進行容器服務的安裝和管理,並學習建立和運營MLOps平台如Kubeflow,從而支持機器學習專案的全流程管理與部署。本課程涵蓋Linux系統基礎、容器技術、Kubernetes集群管理及MLOps實踐,旨在為學生提供全面的系統架構和機器學習平台知識。

This course aims to enable students to master the Linux operating system and its network settings, and to gain an in-depth understanding of container technology and its cluster management. Students will use Docker and Kubernetes to install and manage container services, and learn to establish and operate MLOps platforms such as Kubeflow, thereby supporting the full process management and deployment of machine learning projects. This course covers Linux system basics, container technology, Kubernetes cluster management and MLOps implementation, and aims to provide students with a comprehensive knowledge of system architecture and machine learning platform.

參考書目 Reference Books

git https://git-scm.com/book/en/v2
ubuntu https://help.ubuntu.com
Kubernetes https://kubernetes.io/docs/home/
Nvidia https://www.nvidia.com/en-us/learn/certification/
https://www.nvidia.com/zh-tw/training/online/

git https://git-scm.com/book/en/v2
ubuntu https://help.ubuntu.com
Kubernetes https://kubernetes.io/docs/home/
Nvidia https://www.nvidia.com/en-us/learn/certification/
https://www.nvidia.com/zh-tw/training/online/

評分方式 Grading

評分項目
Grading Method
配分比例
Percentage
說明
Description
雲端服務帳號設定
Cloud service account setting
10 註冊使用相關雲端服務
Ubuntu安裝設定
Ubuntu installation settings
30 架設Ubuntu系統
Containers安裝設定
Containers installation settings
30 使用Containers服務
Kubernetes安裝設定
Kubernetes installation settings
20 架設Kubernetes 叢集

授課大綱 Course Plan

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課程資訊 Course Information

基本資料 Basic Information

  • 課程代碼 Course Code: 6240
  • 學分 Credit: 3-0
  • 上課時間 Course Time:
    Monday/5,6,7[M025]
  • 授課教師 Teacher:
    田振嘉
  • 修課班級 Class:
    資管系3,4,碩1,2
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 28 人

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