A DataCamp course that 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 common tasks. Practical and approachable — a useful orientation for anyone working with open-source AI models.
Good for: Getting productive with the Hugging Face ecosystem.
Less suitable if: You cannot code Python or want deep model-building from scratch.
Skills you'll gain
Hugging FaceNLP pipelinesPre-trained modelsDatasetsPythonOpen-source AI
Is this course right for you?
A good fit if you…
You work with open AI models
You want to use the Hugging Face Hub
You can code basic Python
Consider something else if you…
You cannot yet code Python
You want to build models from scratch
You want deep ML theory
Requirements: Basic Python.
Realistic time: Around 2 hours.
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.
What you'll learn
Navigate the Hugging Face Hub
Use pre-trained models and datasets
Build NLP pipelines
Run text classification tasks
Summarize text with models
Create AI-powered text applications
This course includes
2h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
DataCamp runs on a subscription — roughly $14/month billed annually (more month-to-month), with the first chapter of each course free to try. A certificate of completion is included with the subscription. Hugging Face itself has a free tier; heavier compute or hosted inference can incur separate costs.
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