Deploying Machine Learning Models with Flask for Beginners

Create APIs for machine learning with Flask and deploy your application to the web

Create your own API endpoint for your machine learning models

Create a Flask application from scratch

Deploy your model on the web

Define and train your model

Test the model availability and make predictions

Create a Flask endpoint and perform quality checks

Use image classification in your Flask application

Predict images on the Flask application

Deploy your machine learning model to the web

Getting started with Flask is easy, and its power lies in its ability to scale up to complex applications. In this course, you'll learn the most effective ways to use Flask in order to create your own web application.

You'll b with an introduction to Flask and quickly dive into defining and training your model. You'll perform various actions on this model to train it and ensure that it is of the best quality for your application. You'll also create and test API endpoints so you can predict the model's behavior over .

By the end of this course, you'll have the confidence to deploy this application to the web and learn how to fix any errors that may arise during this process.

The code bundle for this course is available at



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