Deploy Machine Learning Model into AWS Cloud Servers
Build a machine learning-based spam detector API
Deploy the machine learning application into AWS virtual servers.
By the end of this project, you will learn how to build a spam detector using machine learning & launch it as a serverless API using AWS Elastic Beanstalk technology. You will be using the Flask python framework to create the API, basic machine learning methods to build the spam detector & AWS desktop management console to deploy the spam detector into the AWS cloud servers. Additionally, you will learn more about how to switch between different versions of your web application & also, monitoring your AWS servers using Elastic Beanstalk Desktop Management Console. Note: To avoid distraction for set up during the course, we would recommend that you create an Amazon AWS account beforehand. Amazon AWS provides a free tier option for 1 year & the course materials will utilize services that fall under the free tier option.
您要培養的技能
- aws
- EC2
- Aws Elastic Beanstalk
- Machine Learning
- Python Programming
分步進行學習
在與您的工作區一起在分屏中播放的視頻中，您的授課教師將指導您完成每個步驟：
Create a Flask application
Create a RESTful API - GET/POST Method
Build a spam detector ML model
Build a spam detector API
Launch an AWS EC2 instance(Virtual Server) using AWS Elastic Beanstalk.
Deploy your ML model(API) into AWS virtual servers.
Perform additional AWS Elastic Beanstalk actions: Application versioning, Server logs, Server performance monitoring & Terminate the server.
指導項目工作原理
您的工作空間就是瀏覽器中的雲桌面，無需下載
在分屏視頻中，您的授課教師會為您提供分步指導
常見問題
常見問題
如果我購買指導項目，會得到什麼？
指導項目可在台式設備和移動設備上學習嗎？
指導項目的授課教師是誰？
我能在完成指導項目後從中下載作品嗎？
我能夠退款嗎？退款政策是如何規定的？
有助學金嗎？
我能旁聽指導項目並免費觀看視頻部分嗎？
我需要具備多少經驗才能做這個指導項目？
我能直接通過 Web 瀏覽器來完成此指導項目，而不必安裝特殊軟件嗎？
指導項目的學習體驗如何？
還有其他問題嗎？請訪問 學生幫助中心。
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