本課程目的以培育具備於應用智慧科技於服務產業之知識與技能，以利成為跨足不同產業特質之智慧人才。
The primary objective of this course is to equip learners with the knowledge and skills necessary to apply smart technologies within the service industry, thereby fostering interdisciplinary talents capable of adapting to diverse industry needs.
教師姓名：李孟晃 / Meng-Huang Lee
教師簡介：實踐大學資訊科技與管理學系教授兼副校長、教務長和共同課程委員會主任委員，擅長領域為Cloud Computing、Over the Top、IPTV。
Professor, Vice President, Dean of Academic Affairs, and Chair of the General Curriculum Committee, Department of Information Technology and Management, Shih Chien University. Expertise: Cloud Computing, Over the Top (OTT), IPTV.
教師姓名：李建國 / Chien-Kuo Li
教師簡介：實踐大學資訊科技與管理學系副教授兼系主任，擅長領域為智慧型系統、人工智慧、演化型計算、資料探勘、遊戲式學習。
Associate Professor and Chair, Department of Information Technology and Management, Shih Chien University.
教師姓名：洪大為 / Ta-Wei Hung
教師簡介：實踐大學資訊科技與管理學系副教授，擅長領域為最佳化方法與應用、管理與決策、資料科學、機器學習。
Associate Professor, Department of Information Technology and Management, Shih Chien University. Expertise: Optimization Methods and Applications, Management and Decision-Making, Data Science, Machine Learning.
單元 1:Introduction to AWS Machine Learning Services and Amazon SageMaker
單元 2:Natural Language Processing(I)：Polly, Translate, Comprehend
單元 3:Natural Language Processing (II)：Building Chatbots with Amazon Lex
單元 4:Natural Language Processing (II)：Building Chatbots with Amazon Lex、Query data in Amazon S3 with Amazon Athena and AWS Glue
單元 5:Query data in Amazon S3 with Amazon Athena and AWS Glue、Storing and Analyzing Data by Using Amazon Redshift
單元 6:Storing and Analyzing Data by Using Amazon Redshift
本課程共有5個主題，包含53個以上單元之課程影片，講述亞馬遜雲端平台(AWS)之功能概念、實作，課程內容由淺入深、逐步進行，並加入Machine Learning及Natural Language Processing相關應用服務介紹。
5個主題分別為： Introduction to AWS Machine Learning Services and Amazon SageMaker、Natural Language Processing(I)：Polly, Translate, Comprehend、Natural Language Processing (II)：Building Chatbots with Amazon Lex、Query data in Amazon S3 with Amazon Athena and AWS Glue、Storing and Analyzing Data by Using Amazon Redshift
The course consists of 5 main topics and more than 53 video modules. It covers AWS functionalities and hands-on practices, progressing from basic to advanced levels. In addition, the course introduces applied services in Machine Learning and Natural Language Processing (NLP).
Course Topics
Introduction to AWS Machine Learning Services and Amazon SageMaker
Natural Language Processing (I): Polly, Translate, Comprehend
Natural Language Processing (II): Building Chatbots with Amazon Lex
Querying Data in Amazon S3 with Amazon Athena and AWS Glue
Storing and Analyzing Data Using Amazon Redshift
單元測驗：佔總成績 100%
Unit Quizzes: 100% of the final grade
基礎程式設計。
Basic programming knowledge
《實戰AWS雲計算-基礎篇》，2022年。李孟晃、黃麗華、黃乙瑄、黃永玲、陳縈璇合著。出版：深智數位股份有限公司。
Practical AWS Cloud Computing – Fundamentals, 2022. Authors: Lee Meng-Huang, Huang Li-Hua, Huang Yi-Hsuan, Huang Yung-Ling, Chen Ying-Hsuan. Published by 深智數位股份有限公司
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