Deploy Machine Learning Model into AWS Cloud Servers

4.3
estrellas
29 calificaciones
ofrecido por
Coursera Project Network
En este proyecto guiado, tú:

Build a machine learning-based spam detector API

Deploy the machine learning application into AWS virtual servers.

Clock2 hours
IntermediateIntermedio
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

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.

Habilidades que desarrollarás

  • aws
  • EC2
  • Aws Elastic Beanstalk
  • Machine Learning
  • Python Programming

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Create a Flask application

  2. Create a RESTful API - GET/POST Method

  3. Build a spam detector ML model

  4. Build a spam detector API

  5. Launch an AWS EC2 instance(Virtual Server) using AWS Elastic Beanstalk.

  6. Deploy your ML model(API) into AWS virtual servers.

  7. Perform additional AWS Elastic Beanstalk actions: Application versioning, Server logs, Server performance monitoring & Terminate the server.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso

Preguntas Frecuentes

Preguntas Frecuentes

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