6238 - 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 AI 應用部署,並深入了解容器技術及集群管理。學生將學會使用 Docker 和 Kubernetes 進行 AI 服務的安裝和管理,並學習建立和管理 AI 平台,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、AI 架構基礎、容器技術、Kubernetes集群管理及MLOps實踐,旨在為學生提供全面的 AI 系統架構和機器學習平台知識。

This course is designed to enable students to master the Linux operating system and AI application deployment, and gain an in-depth understanding of container technology and cluster management. Students will learn to use Docker and Kubernetes to install and manage AI services, and learn to build and manage an AI platform to support the full-process management and deployment of machine learning projects. This course covers Linux system foundation, AI architecture foundation, container technology, Kubernetes cluster management and MLOps practice, aiming to provide students with comprehensive knowledge of AI 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 settings
20 註冊使用相關雲端服務 作業
Ubuntu安裝設定
Ubuntu installation settings
20 操作Ubuntu系統 作業
Docker for AI 安裝設定
Docker for AI installation settings
20 使用Docker服務 線上小考
期末報告
Final report
30 專案期末報告

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: 6238
  • 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
  • 選課備註 Memo:
    資管34可修,電腦教室
選課狀態 Enrollment Status

目前選課人數 Current Enrollment: 40 人

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