Build and Deploy a Machine Learning Application with Flask on AWS EC2 | Step-by-Step Tutorial !!!

Are you looking to build and deploy a machine learning application using Flask on AWS EC2? Look no further! In this step-by-step tutorial, we will guide you through the process of building and deploying your machine learning application on the cloud.

Step 1: Set up your AWS EC2 instance

First, you will need to set up an AWS EC2 instance. You can choose the instance type that best suits your needs, but we recommend selecting an instance with enough CPU and memory to handle your machine learning application.

Step 2: Install Python and Flask on your EC2 instance

Next, you will need to install Python and Flask on your EC2 instance. You can do this by running the following commands in your terminal:

            sudo yum update
            sudo yum install python3
            sudo yum install python3-pip
            sudo pip3 install flask
        

Step 3: Build your machine learning application using Flask

Now that you have Python and Flask installed on your EC2 instance, you can start building your machine learning application. Create a new Python file (e.g. app.py) and write your Flask application code.

Step 4: Deploy your Flask application on AWS EC2

Once you have built your machine learning application using Flask, you can deploy it on your AWS EC2 instance. Start your Flask application by running the following command:

            python3 app.py
        

Your Flask application should now be up and running on your EC2 instance. You can access it by navigating to your EC2 instance’s public IP address in your web browser.

Conclusion

Congratulations! You have successfully built and deployed a machine learning application using Flask on AWS EC2. We hope this step-by-step tutorial was helpful in guiding you through the process. Happy coding!