Rigorous trainer selection
Each trainer is validated on three criteria: hands-on field expertise, proven pedagogy and alignment with your industry.
- Triple validation: technical, pedagogical, sectoral.
- Minimum rating 4.8/5 over the last 12 sessions.
Training Hugging Face - Master Open-Source AI Models
Trusted by — schools, companies and industrial groups
41,116 programs · 25 countries
Every program built with a dedicated engineer
Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft, Microsoft and Atos.
Hugging Face training objectives
- Discover the Hugging Face platform and its ecosystem
- Install the Transformers and Datasets libraries
- Load and test pre-trained models
- Perform fine-tuning on real-world cases
- Deploy AI pipelines with Gradio and Spaces
- Integrate Hugging Face into real projects
Program
Hugging Face curriculum: 4 modules over 4 days
Module 1 : Introduction to Hugging Face: Explore the Platform (Tools, Models, Datasets)
Dive into the Hugging Face universe, install the Transformers and Datasets libraries via pip, navigate the Hub to select 5 flagship models, perform your first tests in Jupyter notebook on text classification, generate deliverables like an exploration report, and share your first Spaces for immediate visibility, all while benefiting from guided exercises that boost your confidence from the morning.
Module 2 : Pre-trained Hugging Face Models: Practical Use (Tokenizers, Inference)
Master tokenizers and pipelines for real-time text analysis, load BERT and GPT for NLP tasks like summarization, practice on 3 public datasets with interactive exercises, generate predictions on your own data, create a live Gradio dashboard, and export your first optimized models, a dynamic session that turns theory into actionable skills for your daily projects.
Module 3 : Fine-tuning Hugging Face: Customize Models (Trainer API, Accelerators)
Level up with the Trainer API, fine-tune DistilBERT on a custom dataset in 2 hours, use Accelerate for GPU without complexity, test on sentiment analysis and Q&A, produce precise metrics like 92% accuracy, iterate via collaborative exercises, and deploy your fine-tuned model on Spaces, an immersive day that makes you autonomous in adapting AI to your specific business needs.
Module 4 : Hugging Face Applications and Deployment: Production Pipelines (Gradio, API)
Finalize by building complete apps with Gradio and Streamlit, integrate multi-model pipelines for vision and text, deploy via Docker on Hugging Face Spaces, secure your APIs with secrets manager, evaluate performance on real enterprise cases, generate a portfolio of 3 ready-to-use demos, and leave with a certificate, a motivating wrap-up that propels your AI skills into production next week.
How Hugging Face skills are assessed
- Daily interactive quizzes, graded practical exercises, final project with personalized feedback
How the Hugging Face course is taught
- 70% intensive practice, real case studies, guided exercises in small groups
Hugging Face training: access and practical arrangements
The Training Hugging Face - Master Open-Source AI Models program is delivered onsite or remote (blended-learning, virtual classroom, remote presence). At Learni, an industry-certified training organization, every program is built to maximize skills acquisition regardless of the chosen format.
The trainer alternates between demonstrative, interrogative and active methods (through hands-on labs and/or scenarios). This pedagogical approach guarantees concrete learning that's immediately applicable at work.
Equipment required
For the smooth delivery of the Training Hugging Face - Master Open-Source AI Models program, the following equipment is required:
- Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, projector or interactive touch screen (for remote sessions)
- Training environments installed on workstations or accessible online
- Course materials, hands-on exercises and complementary resources
- Post-training access to materials and educational resources
For intra-company training on a site outside Learni, the client commits to providing all required teaching materials (computers, internet, etc.) for the smooth delivery of the program in line with the prerequisites in the communicated program.
* contact us for remote delivery feasibility** ratio varies depending on the program
Skills assessment methods
Assessment of skills acquired during the Training Hugging Face - Master Open-Source AI Models program is performed through:
- During training: case studies, hands-on labs and professional scenarios
- End of training: self-assessment questionnaire and skills evaluation by the trainer
- After training: completion certificate detailing acquired skills
Program accessibility
Learni is committed to making its programs accessible. All our programs are accessible to people with disabilities. Our teams are available to adapt the pedagogical methods to your specific needs. Please contact us for any adjustment request.
Enrollment terms and lead times
Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.
The Learni story
Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.
Our method
How Learni guarantees the quality of your Hugging Face training
Before, during, after: we frame the brief, introduce the trainer, tailor the content and measure impact. You stay in control from kickoff to wrap-up.
You meet the trainer beforehand
30-minute video call between you and the selected trainer to validate the fit, adjust content and clear any final doubts.
- Live briefing on goals and team context.
- Veto right — we swap the trainer for free if needed.
Content tailored to your context
No recycled slides. The syllabus is reworked from your real cases: tools, constraints, vocabulary, ongoing projects.
- Hands-on cases drawn from your stack and projects.
- Program co-written then validated by your team.
Continuous quality follow-up
Live evaluations, 30/90/180-day check-ins and a consolidation plan. If the impact misses the mark, we rework it.
- NPS, knowledge quizzes and skills self-assessment.
- Satisfaction guarantee: fully satisfied or free rework.
A simple promise: you don't pay to discover the trainer on day one. Everything is validated upfront, by you.
Our social commitment
A school kit donated to a child for every training booked
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
FAQ
Hugging Face: frequently asked questions
Which tools are used in Hugging Face training?+
Hands-on work runs on tools, models, datasets, tokenizers, inference and trainer API. Those tools come from the Hugging Face program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after Hugging Face training?+
They can discover the Hugging Face platform and its ecosystem, install the Transformers and Datasets libraries and load and test pre-trained models. Those are the stated objectives of the Hugging Face program at Intermediate level, checked by the end-of-session assessment.
What does the Hugging Face program cover, day by day?+
Day 1: Introduction to Hugging Face: Explore the Platform (Tools, Models, Datasets). Day 2: Pre-trained Hugging Face Models: Practical Use (Tokenizers, Inference). Day 3: Fine-tuning Hugging Face: Customize Models (Trainer API, Accelerators). Day 4: Hugging Face Applications and Deployment: Production Pipelines (Gradio, API). The Hugging Face program runs over 4 days, delivered on site.
How is Hugging Face training assessed?+
Assessment relies on daily interactive quizzes, graded practical exercises, final project with personalized feedback. Learni issues a completion certificate together with the individual assessment report at the end of the Hugging Face program, which an L&D team can file as evidence.
How much does Hugging Face training cost per participant?+
Hugging Face training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does Hugging Face training take?+
4 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for Hugging Face training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before Hugging Face training?+
Python basics, introductory machine learning knowledge.
Is a certificate issued after Hugging Face training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for Hugging Face training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
Your professional training, anywhere
Let's build your Hugging Face learning path.
30 minutes with a learning advisor. No commitment. No sales pitch dressed up as a demo.
Reply within 24h · Vetted experts · USD invoicing · W-9 available
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On-site & remote
Hugging Face training in your city
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