Model Deployment

Course Description

This module provides a comprehensive guide to deploying machine learning models using Flask on AWS EC2 instances. Participants will start by learning the fundamentals of Flask as a web framework, including how to create a basic application and set up API endpoints for model predictions.

The course will cover the entire deployment process, from building and saving machine learning models to integrating them with the Flask app. Students will gain hands-on experience in setting up an AWS EC2 instance, configuring security settings, and installing the necessary software stack, including Flask and Gunicorn.

Additionally, the module will address best practices for production deployment, including using a reverse proxy with Nginx and implementing API security measures. By the end of the course, participants will have the skills to deploy a fully functional machine learning application on AWS, ensuring they are equipped to scale and monitor their applications effectively. This hands-on approach will culminate in a project where students deploy a complete ML model with Flask, reinforcing their learning through practical application.