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Program profile · official sources

Introduction to Hugging Face

365 Data Science's 'Introduction to Hugging Face' is an advanced-level online course taught by Lauren Newbould, focusing on building applications with open-source transformer models. Across a two-hour headline duration, learners explore the Hugging Face ecosystem, utilizing pre-built pipelines for zero-shot classification, text generation, and summarization. The curriculum dives into the Models Hub, custom tokenization, dataset streaming, and fine-tuning pretrained LLMs on custom datasets before deploying interactive demos via Gradio and Hugging Face Spaces. It also covers multimodal applications including audio and image processing. Offering 3 CPE credits, credentialing requires passing a comprehensive 120-minute exam with at least 60%. Recommended preparation includes introductory Python programming.

Facts checked 27 Sep 2026

Price
See pricing

Price observation recorded 27 Sep 2026 (not a current price): No total course price is stated. The platform-wide Self-Study plan displays a regular comparison price of $36/month, an observed $12.50/month billed annually offer, and an FAQ mentions a $29/month rate, as observed in United States captures dated 2026-09-27. ISO currency and a separately monthly-billed amount were not established; these subscription rates are not treated as a source-checked completion total. Certificates are included with the Self-study learning plan.

Time
2 hours
(provider headline; module and exam timings listed separately)
Level
Advanced
Credential
Provider-issued certification

Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan.

Prerequisites
Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Completion of an introductory Python course is recommended. Familiarity with machine learning or natural language processing concepts is helpful but not mandatory.

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

Duration
2 hours (provider headline; module and exam timings listed separately)
Level
Advanced
Format
100% online, self-paced course
Credential
Provider-issued certification
Prerequisites
Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Completion of an introductory Python course is recommended. Familiarity with machine learning or natural language processing concepts is helpful but not mandatory.
Facts checked 27 September 2026 against 365 Data Science’s official page ·
Sources ↗
· Next check October 2026

No accepted numeric price in this registry. See the sourced pricing details below.

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

What’s covered

  • Welcome to The Course
  • Introduction to Hugging Face
  • Getting Started with Pipelines
  • Hugging Face Models
  • Hugging Face Tokenizers
  • Fine-tuning a Model
  • Advancing Your Knowledge
  • Beyond Text: Audio and Image Tasks
  • Course exam

Prerequisites: Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Completion of an introductory Python course is recommended. Familiarity with machine learning or natural language processing concepts is helpful but not mandatory.

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What you actually do

  • Welcome to The Course · 8 min; Section 1 · Source
  • Introduction to Hugging Face · 14 min; Section 2 · Source
  • Getting Started with Pipelines · 11 min; Section 3 · Source
  • Hugging Face Models · 18 min; Section 4 · Source
  • Hugging Face Tokenizers · 9 min; Section 5 · Source
  • Fine-tuning a Model · 29 min; Section 6 · Source
  • Advancing Your Knowledge · 9 min; Section 7 · Source
  • Beyond Text: Audio and Image Tasks · 19 min; Section 8 · Source
  • Course exam · 120 min; Section 9 · Source

What the credential is

Credential type
Provider-issued certification · 365datascience.com / introduction-to-hugging-face
Credential
Course Certificate · 365datascience.com / certificates
Issuer
365 Data Science · 365datascience.com / certificates
Sharing
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon passing. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Exam requirement
Pass the course exam; general certificate terms state 60% or above. Certificates are included with the Self-study learning plan. · 365datascience.com / certificates
Credential expires
provider does not state · 365datascience.com / introduction-to-hugging-face
Renewal
provider does not state · 365datascience.com / introduction-to-hugging-face

Who should skip it

  • Check the course-specific preparation before enrolling: Python (version 3.8 or later), Hugging Face Transformers library, and a code editor or IDE (e.g., VS Code or Jupyter Notebook) Completion of an introductory Python course is recommended. Familiarity with machine learning or natural language processing concepts is helpful but not mandatory. · Official source · 2026-09-27

Alternatives in the registry

Related by topic or level.

Change log

  • : Initial recorded review of official program details. · Source

Cost details

Requires Python 3.8+, Hugging Face Transformers library, and code editor/IDE. No individual course purchase price is established; access is through platform subscription tiers.

Official source · 2026-09-27

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