Home Programming Languages Deploy Models with TensorFlow Serving and Flask

Deploy Models with TensorFlow Serving and Flask

Online Course Highlights
  • Coursera Project Network via Coursera
  • Learn for FREE, Up-gradable
  • 2 hours of effort required
  • Skill Level: Intermediate
  • Language: English

In this 2-hour long project-based course, you will learn how to deploy TensorFlow models using TensorFlow Serving and Docker, and you will create a simple web application with Flask which will serve as an interface to get predictions from the served TensorFlow model.

This course runs on Coursera’s hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your Internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with (e.g. Python, Jupyter, and Tensorflow) pre-installed.


In order to be successful in this project, you should be familiar with Python, TensorFlow, Flask, and HTML.

Notes: –

You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. – This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Take This Online Course

More Related Courses:

Python and Flask Bootcamp: Create Websites using Flask!
Jose Portilla via Udemy
19,687+ already enrolled!
5 Star (3,638 Ratings)

Python Flask for Beginners: Build a CRUD web app using Flask
Febin George via Udemy
25,342+ already enrolled!
4 Star (524 Ratings)

Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps
Tim Buchalka’s Learn Programming Academy, El Farouk Yasser via Udemy
7,399+ already enrolled!
4 Star (934 Ratings)

Your Feedback:

There are no reviews yet. Be the first one to write one.

0.0 rating
0 out of 5 stars (based on 0 reviews)
Very good0%