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Hugging Face Fundamentals

The Hugging Face Fundamentals track by DataCamp is a track with twelve provider-listed hours covering open-source artificial intelligence models. The curriculum consists of four courses, starting with the Hugging Face Hub and transformers library before progressing to large language models in Python. Learners study multi-modal models for text, image, audio, and video generation, and conclude by building AI agents with the smolagents framework. A separate bonus project on food image classification is also included. The track requires no prerequisites and is accessible through a DataCamp Premium subscription for USD 35 per month regular. Upon finishing the four courses, participants earn a Statement of Accomplishment. The access price is not a guaranteed completion cost.

Facts checked 9 Sep 2026

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
Time
12 hours

Provider-listed track duration; not guaranteed elapsed completion time.

Level
Not listed
Credential
Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review.

Prerequisites
There are no prerequisites for this track

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price. (see provider page)
Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access is USD 35 with no monthly promotion shown. Annual regular USD 330 and promotional USD 165 are separate billed totals; no promotion expiry or additional account/geographic restriction is stated. Access price is not a guarantee of track completion. · Official pricing
Duration
12 hoursProvider-listed track duration; not guaranteed elapsed completion time.
Format
Track
Credential
Statement of Accomplishment
Prerequisites
There are no prerequisites for this track

Course and activity access

Career and Skill tracks: Basic not included; Premium included.. Official source

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Hugging Face Fundamentals: USD 35; position among 36 other courses and tracks with accepted USD prices. Payment scopes differ.

See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.

What’s covered

  • Working with Hugging Face
  • Introduction to LLMs in Python
  • Multi-Modal Models with Hugging Face
  • AI Agents with Hugging Face smolagents

Prerequisites: There are no prerequisites for this track

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How much does the Hugging Face Fundamentals track cost?

The Hugging Face Fundamentals track is available through a DataCamp Premium subscription, which costs USD 35 per month for regular access. This monthly fee provides access to the complete curriculum, but does not guarantee the total cost to finish the track, as the final amount depends on the subscription route and billing periods purchased. The track is not included in the basic subscription tier. Pricing evidence was recorded in 8 September 2026.

What credential do you earn upon completion?

Learners who complete the four courses in the Hugging Face Fundamentals track earn a Statement of Accomplishment issued by DataCamp. This statement is provided to recognize the completion of the track's twelve hours of material. While the provider page mentions that certification is available on the platform, that banner does not establish a required exam or change the named track-completion credential. Exam requirements, expiry, and renewal remain unstated in the reviewed facts.

What topics are covered in the curriculum?

The track consists of four specific courses focusing on artificial intelligence and the Hugging Face ecosystem. The courses are "Working with Hugging Face," "Introduction to LLMs in Python," "Multi-Modal Models with Hugging Face," and "AI Agents with Hugging Face smolagents." Alongside the main curriculum, learners also receive a separate bonus project titled "Food Image Classification with Hugging Face." The program requires no prerequisites and teaches learners to navigate the Hugging Face Hub, perform inference with language models, and build multi-modal workflows.

What you actually do

  • Working with Hugging Face — Course · Source
  • Introduction to LLMs in Python — Course · Source
  • Multi-Modal Models with Hugging Face — Course · Source
  • AI Agents with Hugging Face smolagents — Course · Source

What the credential is

Credential type
Statement of Accomplishment · www.datacamp.com / hugging-face-fundamentals
Credential
Statement of Accomplishment · www.datacamp.com / hugging-face-fundamentals
Issuer
DataCamp · www.datacamp.com / hugging-face-fundamentals
Sharing
Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / hugging-face-fundamentals

Who should skip it

  • Individuals requiring a separately assessed professional certification rather than the named Statement of Accomplishment; this track's exam requirements are unstated. · Source
  • Learners seeking a course dedicated solely to one model or modality rather than a track spanning language models, multi-modal models, and agents. · Source

Alternatives in the registry

Related by topic or level.

Change log

  • : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source
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