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Launch an AI Hotdog Detector as a Serverless Python App | IBM

Have you ever wondered if a picture has a hotdog in it or not? Well, no longer do you have to wonder—you can now prove it! With this fun project, you’ll learn how to create and launch a web app in Python that tells you just that: whether or not a picture has a hotdog in it. Let’s settle the great debate once and for all, learning skills that can help you land your next big job or pursue your million dollar idea while you’re at it!

A Look At the Project Ahead
Once you have completed, this project, you’ll be able to:
  • Clone a GitHub repository through the command line, otherwise known as Terminal
  • Create and launch a web app with Flask, a micro-framework for Python
  • Describe the necessary frontend files that help in launching the app, such as the HTML, CSS and Javascript files

What You’ll Need

Before starting this project, it’ll be helpful to have the following:
  • Basic Python knowledge
  • IBM Cloud account
  • Basic HTML, CSS and Javascript (optional)
  • GitHub account (optional)
If you’re interested in learning more about the behind-the-scenes process of creating a model for image classification, check out the following project: Train an Image Recognition Model with Python!

How to Enroll: 


Enroll Now

  1. Choose your desired certificate program on the IBM website.
  2. Create an Amazon if you don’t have one.
  3. Select specific courses within your chosen program.
  4. Enroll in courses, and pay if necessary.
  5. Access course materials and complete requirements.
  6. Prepare for and take certification exams if required.
  7. Earn your certificate upon successful completion.
  8. Be aware of maintenance or renewal requirements, if applicable.

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