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.
1 seat held for the next session
30:00Held for another
Request a call back and an advisor reaches you within 24 business hours, Monday to Saturday.
Trusted by — schools, companies and industrial groups
Every program built with a dedicated engineer
Learning 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
Our social commitment
A school kit donated to a child for every training
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
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.
Don't let this gap widen
Why this program matters
Without mastering Hugging Face, you lose 30% of time on AI, with poorly chosen models causing 20% errors in production and up to 4000€ per failed project.
Your competitors are already leveraging 500k open-source models for 50% efficiency gains, while you struggle with outdated tutorials.
Avoid weeks of trial-and-error, project delays, and the risk of falling behind in the exploding AI market (+300% demand).
Train now to turn these losses into immediate opportunities.
Program
Module 1Introduction 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 2Pre-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 3Fine-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 4Hugging 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.
Evaluation method
- Daily interactive quizzes, graded practical exercises, final project with personalized feedback
Learning method
- 70% intensive practice, real case studies, guided exercises in small groups
Methods, materials and delivery
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.
Our method
Training quality, guaranteed at every step
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.
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FAQ
Frequently asked questions
How much does the Training Hugging Face - Master Open-Source AI Models training cost?+
The individual price is $4,620 (USD). The team / on-site group package is shown on the course page. A detailed quote is sent within one business day.
How long is the Training Hugging Face - Master Open-Source AI Models training?+
The training lasts 4 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Python basics, introductory machine learning knowledge.
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote
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