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Training Hugging Face Transformers 2026 - Mastering Advanced NLP

Ref: VWF279
10 people max.
From $5,775 HT / per person
On-site on request · +$540 with certification exam
5 days
Remote

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Learning objectives

  • Master Hugging Face Transformers models for professional NLP tasks
  • Develop skills in fine-tuning and optimizing Transformers in a corporate setting
  • Design robust MLOps pipelines with TensorFlow and PyTorch
  • Implement certifying solutions for AI model deployment
  • Optimize the performance of Hugging Face Transformers models in real-world contexts
  • Configure continuous training environments for technical teams
A child walking to school with a backpack
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

  • Companies that neglect Hugging Face Transformers lose competitiveness.

  • According to recent studies, 67% of NLP projects fail without mastery of these tools.

  • This causes average delays of six months and a 40% increase in development costs.

  • Professionals stagnate in their careers amid rising demand for MLOps skills.

  • Skipping this training exposes your team to strategic delays and rapid skill obsolescence.

Allan BUSI
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction

Program

Module 1Theme: Hugging Face Transformers - Setup and NLP fundamentals (pipelines, tokenizers, datasets)

Participants discover the basics of Hugging Face Transformers through practical exercises on NLP pipelines. They explore tokenizers and datasets with TensorFlow, work on concrete text analysis cases, and produce an initial sentiment classification deliverable.

Module 2Theme: Hugging Face Transformers - Advanced fine-tuning with PyTorch (models, training, metrics)

This day covers fine-tuning of Hugging Face Transformers models in PyTorch. Learners perform supervised training, optimize hyperparameters, and evaluate results on professional datasets to deliver a customized model.

Module 3Theme: Hugging Face Transformers - MLOps integration (versioning, monitoring, CI/CD)

Trainees integrate Hugging Face Transformers into MLOps workflows. They use versioning and monitoring tools, automate deployments via CI/CD pipelines, and deliver a production performance tracking solution.

Module 4Theme: Hugging Face Transformers - Optimization and scaling (quantization, distillation, TensorFlow Serving)

Focus on optimizing Hugging Face Transformers models: quantization and distillation are practiced with TensorFlow. Participants test scaling on servers and produce a deliverable of an optimized model for fast inference.

Module 5Theme: Hugging Face Transformers - Final project and certification (corporate case study, presentation)

Synthesis day with a complete project applying Hugging Face Transformers to a corporate case study. Learners deploy their solution, document acquired skills, and prepare for professional certification.

Evaluation method

  • Daily quizzes to validate learning outcomes
  • Final project evaluated by peers and trainers
  • Certificate of competency awarded at the end of the training

Learning method

  • Practical exercises on real datasets
  • Corporate use cases with feedback
  • Collaborative work in small groups
  • Resources and code provided for reuse

Methods, materials and delivery

The Training Hugging Face Transformers 2026 - Mastering Advanced NLP 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 Transformers 2026 - Mastering Advanced NLP 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 Transformers 2026 - Mastering Advanced NLP 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.

Step 1

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.
Step 2

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.
Step 3

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.
Step 4

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.

FAQ

Frequently asked questions

How much does the Training Hugging Face Transformers 2026 - Mastering Advanced NLP training cost?+
The price is $5,775 (USD) per participant. A detailed quote is sent within one business day.
How long is the Training Hugging Face Transformers 2026 - Mastering Advanced NLP training?+
The training lasts 5 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?+
Solid knowledge of Python, machine learning fundamentals, and experience with TensorFlow or PyTorch.
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.
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