Deploy a BERT question answering bot on Django

Offered By
Coursera Project Network
In this Guided Project, you will:

Learn how to create a Django web app

Learn how to search Wikipedia using the Wikipedia API

Understand how to deploy a machine learning model in a Django

Clock2 hours
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

In this 2-hour long project-based course, you will learn how to create a Django web app. You will learn how to create forms, models, views and templates in Django, and how to deploy a machine learning model on a Django app. You will use the Wikipedia API to search for topics. Note: 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.

Skills you will develop

Python ProgrammingObject-Oriented Programming (OOP)Model–View–Controller (MVC)Django (Web Framework)BERT

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Create the BERTBot Django project and its app

  2. Create the question model class

  3. Create the question entry view and model form

  4. Using the Wikipedia API to search topics

  5. Set up the BERT pipeline in Django

  6. Create the question entry template

  7. Create the history view and template

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

More questions? Visit the Learner Help Center.