Deploy Models with TensorFlow Serving and Flask

This 2-hour-long project-based course will teach you how to deploy TensorFlow models with TensorFlow Serving, Docker, and create a simple web app with Flask that will allow you to access predictions from the TensorFlow model. This course is available on Coursera's Rhyme project platform. Rhyme allows you to work in your browser in a hands-on way. Instant access to pre-configured cloud desktops that contain all the software and data needed for your project will be available. Everything is already configured in your Internet browser, so you can focus on learning. You'll have instant access to a cloud-based desktop with (e.g. You will be able to access a cloud desktop with (e.g., Tensorflow, Jupyter, Python) pre-installed. Prerequisites: You will need to be familiar with Python and TensorFlow, Flask and HTML in order to succeed in this project. Notes: You can access the cloud desktop five times. However, you can access the instructions videos as many times you wish. This course is best for learners who live in the North America region. We are currently working to offer the same experience in other areas.