From Scratch to Success: Dockerize and Deploy Flask ML App on AWS EC2

Опубликовано: 14 Май 2026
на канале: SAI Data Science
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Learn how to Dockerize and deploy a Flask ML app on AWS EC2 in this step-by-step tutorial. Take your app from scratch to success with ease!
Zero to Live: Dockerize and Deploy Flask ML App on AWS EC2 | Step-by-Step Guide

Ready to take your Machine Learning project live? In this hands-on tutorial, learn how to Dockerize your Flask-based ML app and deploy it on AWS EC2 — from scratch!

Whether you're a student, beginner, or someone preparing for data science/devops interviews, this video gives you real-world deployment skills.

🔧 What You'll Learn:
Setting up an EC2 instance (Free Tier eligible)

Installing Docker on EC2

Creating a Dockerfile for your Flask ML app

Loading Docker images to EC2

Running your app and making it publicly accessible

🛠 Tools Used:
AWS EC2 (Ubuntu)

Docker

Flask (Python)

Pickle models (scikit-learn)

SCP/PSCP (for file transfer)

✅ By the end of this video, you’ll have your own ML web app running live on the internet!

📁 Project Files & Resources:
Link to GitHub repository : https://github.com/saidatascience2023...

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#Docker #AWS #FlaskML #MachineLearning #EC2 #Deployment #MLOps