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Training Hugging Face Transformers 2026 - Mastering Advanced Generative AI

Ref: ZBF323
10 people max.
5500€ HT / per person
−15% from 2 people−30% from 3 people−50% from 5 people
Pay in 3 installments · +$170/day onsite · +$500 with certification exam
5 journées
distanciel

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Learning objectives

  • Master the 2026 Transformer architectures for optimal performance in professional AI
  • Develop and fine-tune certified models adapted to business needs
  • Design scalable inference pipelines with Hugging Face Transformers
  • Optimize cloud deployment skills for critical applications
  • Implement advanced prompt engineering and RAG techniques
  • Deploy secure and GDPR-compliant generative AI solutions

The Learni story

Founded by passionate learning and innovation experts, Learni's mission is to make professional training accessible to everyone, anywhere in the world. Our team operates in major hubs — London, New York, Boston — and internationally, to support talents and organizations in upskilling.

Don't let this gap widen

Why this program matters

  • Without this upskilling, your team accumulates a technological gap that translates directly into productivity loss.

  • Organizations that don't train their talents on key topics see their competitiveness drop.

  • Every quarter without training is a gap widening with competitors who invest.

  • The cost of inaction quickly exceeds that of well-targeted training.

Allan Busi
Allan Busi

Learni Trainer · Expert

73%productivity gap
×3cost of inaction

Program

Module 1Advanced Fundamentals: Hugging Face Transformers Pipelines and Tokenizers (tools, initial fine-tuning)

Discover the latest evolutions of Transformers 2026 via ready-to-use pipelines, configure optimized tokenizers for multilingual support, perform practical exercises loading pre-trained models like GPT-NeoX or Llama 3, analyze real-time performance metrics, produce your first inference scripts on real datasets, while integrating best practices for professional certifying training.

Module 2Expert Fine-tuning: PEFT and LoRA with Hugging Face Transformers (efficient methods, model deliverables)

Dive into parameter-efficient fine-tuning with PEFT and LoRA on Hugging Face Transformers 2026, apply these techniques to concrete cases like advanced sentiment classification, train on cloud GPU via Trainer API, evaluate with wandb for tracking, generate deployable custom models for business, optimize hyperparameters via Optuna, and validate certifying skills on real projects.

Module 3Generation and Multimodality: T5, Vision Transformers with Hugging Face (integrations, multimodal exercises)

Explore text-image generation with T5 and ViT under Hugging Face Transformers 2026, integrate multimodal workflows for intelligent chatbots, code RAG agents with LangChain, test on GLUE and SuperGLUE benchmarks, develop generative AI application prototypes, analyze latency and cost via ONNX, and consolidate professional skills for digital transformation in business.

Module 4Scalable Deployment: Optimum and TGI for Hugging Face Transformers (Docker, secure APIs)

Master deployment with Optimum and Text Generation Inference on Hugging Face Transformers 2026, containerize via Docker and Kubernetes, expose secure REST APIs with FastAPI, scale on AWS SageMaker or Azure ML, monitor with Prometheus, simulate production loads, and produce deliverables ready for certifying enterprise environments.

Module 5Optimization and Security: Quantization, Guardrails with Hugging Face Transformers (audits, final projects)

Optimize models via 4-bit quantization and distillation on Hugging Face Transformers 2026, implement guardrails against jailbreaks, audit biases and GDPR compliance, finalize a personal capstone project like a custom AI assistant, present in peer-review session, receive coach feedback, and obtain certification for advanced skills to boost your career.

Evaluation method

  • Daily interactive quizzes and practical challenges evaluated live
  • Final individual project with peer-review and expert grading
  • Qualiopi certifying attestation validating advanced skills

Learning method

  • 70% hands-on practice on real business cases with live coding
  • 30% targeted theory on 2026 updates
  • Unlimited access to replays and post-training resources
  • Personalized coaching 1 month after for deployment

Methods, materials and delivery

The Training Hugging Face Transformers 2026 - Mastering Advanced Generative AI program is delivered onsite or remote (blended-learning, e-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 Generative AI 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 Generative AI 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

Learni programs are available inter-company and intra-company, onsite or remote. Enrollments are possible up to 48 business hours before the program starts. Our programs are eligible for corporate funding paths. Contact us to discuss your training project and funding options.

Verified reviews

What our learners

4.9 · +100 verified reviews
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
★★★★★

« cool, j'ai appris des trucs »

TomFormation AWS — Cloud Practitioner
★★★★★

« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »

Eva CarpentierFormation LLM en Entreprise — Claude, ChatGPT, Mistral
★★★★★

« la formation dev etait intense mais grave bien. merci Anthony Khelil »

NolanDWWM - Développeur Web et Web Mobile
★★★★★

« 😊👍 »

AmbreDWWM - Développement Web & Mobile React
★★★★★

« bien 👍 »

Léo BlanchardFormation AWS — DevOps Engineer Professional
★★★★★

« Allan Busi t'es au top, continue comme ça. formation géniale »

MargotFormation Claude & ChatGPT — Comparatif et Cas d'Usage
Read all reviews
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.

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