Working with Hugging Face
Is this course right for you?
Its couple of hours teach you to navigate the Hub, put its models and datasets to work, and build NLP pipelines for common tasks: an orientation to the ecosystem rather than a from-scratch model-building course. It suits anyone working with open AI models who can code Python, and won't satisfy you if you want to build models from the ground up. It's on DataCamp's subscription (roughly $14/month on the annual plan, first chapter free); note Hugging Face itself has a free tier, though heavier compute or hosted inference can cost extra. A useful map of a fast-moving ecosystem (as of 2026).
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About this course
Working with Hugging Face gets you productive with the platform at the centre of modern open AI. In about two hours you learn to navigate the Hugging Face Hub, use its models and datasets, and build NLP pipelines for tasks such as text classification and summarization — turning pre-trained models into working text applications.
Instructor
Created by Jacob Marquez with a DataCamp content team, focused on making the Hugging Face ecosystem approachable for newcomers.