2023spring_Practice of Cloud Virtualization Engineering_Department of Electronic Engineering 4 A
Course Period:Now ~ Any Time
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Course Intro

Course Plan

教學目標:This course is intended to provide students with practical knowledge and practical skills on essential topics related to cloud computing and to help students understand and apply the features of cloud computing across four different cloud computing services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Business Process as a Service (BPaaS). The practical part focuses on exploiting the features of Microsoft Azure AI. For example, students practice building Computer Vision applications such as Classification, Object Detection, Face analysis, and recognition. Besides, students could build OCR, Form Recognition, and Natural Language Processing applications. At the end of the course, students get an overview of cloud computing and begin to familiarize themselves with taking Microsoft certifications such as Azure Fundamentals and Azure AI Engineer Associate.
 Textbooks
1. Cloud Computing: Theory and Practice. Morgan Kaufmann Publishers (2017), Dan C. Marinescu. 2. Self-made teaching material
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Teacher / 黎玉線

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