Free Lesson

Deploy a computer vision model as an API

30 min

Apr 24, 2024 3:00 PM

Virtual (Zoom)

In this video

What you'll learn

Build a python flask API

Build a python flask API for an already trained Pytorch computer vision model.

Deploy flask API to the web

Deploy flask API to a Heroku account where it can be accessed publicly.

Test API with Postman/Curl

Send API calls to Heroku website through curl commands on the command shell and Postman.

Why this topic matters

Deploying models allows external users to be able to access trained ML models. This is where the value of AI is... people can only interact with AI after it is has been deployed. Deploying an API makes it easy for developers and for other web or mobile applications to be able to use trained models.

You'll learn from

Emmanuel Acheampong

Co-Founder/Head of AI @ roboMUA, Notre Dame masters, Morgan Stanley, Microsoft, AI projects course instructor Coursera

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