Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Hugging Face Training - Master Advanced Transformers training are: Advanced proficiency in Python, PyTorch or TensorFlow, experience in fine-tuning LLMs and model deployment.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Hugging Face Training - Master Advanced Transformers training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Hugging Face Training - Master Advanced… | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

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Methods, approaches, and teaching resources

The Hugging Face Training - Master Advanced Transformers training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Hugging Face Training - Master Advanced Transformers training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Hugging Face Training - Master Advanced Transformers training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training access terms and deadlines

Training objectives

Deploy custom Hugging Face pipelines in production

Optimize Transformer fine-tuning for complex cases

Integrate multi-modal AI agents via the Accelerate library

Scale models on GPU/TPU with DeepSpeed and Hugging Face

Build advanced RAG applications with expert embeddings

Analyze and debug model performance in real-time

Automate end-to-end workflows with HF Datasets and Spaces

Training program

Module 1Advanced Hugging Face Fundamentals: Transformers and Expert Tokenizers

Dive into the most cutting-edge Transformer architectures, configure custom tokenizers for rare languages, use the Transformers library to load and inspect pre-trained models like BERT or Llama, perform exercises on massive datasets via HF Datasets, generate your first performance benchmarks, and validate optimal configurations for your AI projects, while gaining fluency for rapid and efficient implementations.

Module 2Expert Fine-tuning: PEFT and LoRA on Hugging Face

Master Parameter-Efficient Fine-Tuning techniques with PEFT and LoRA, apply them to giant LLMs on custom datasets, use the Trainer API for advanced hyperparameters, integrate QLoRA for up to 80% memory reduction, test on concrete cases like code generation or specialized NER, generate optimized checkpoints, and deploy your fine-tuned models in a snap, dramatically boosting your AI performance.

Module 3Pipelines and AI Agents: Multi-Modal Hugging Face Integration

Build end-to-end pipelines for vision, NLP, and audio, integrate agents with LangChain and HF Agents, chain models like CLIP or Whisper for hybrid apps, develop interactive exercises on real workflows, optimize inference with Optimum and ONNX, produce production-ready functional demos, and discover how to scale your AI innovations without technical limits.

Module 4Optimization and Scaling: Accelerate, DeepSpeed on Hugging Face

Accelerate distributed training with Accelerate and DeepSpeed, configure ZeRO for models on GPU clusters, benchmark gains up to 10x in speed, apply exercises on horizontal scaling, integrate Tensor Parallelism for LLMs >70B, generate detailed performance reports, and master tools for cloud-agnostic deployments, transforming your workflows into ultra-efficient AI powerhouses.

Module 5Real Projects and Deployment: Hugging Face Spaces, Inference Endpoints

Complete a full capstone project with advanced RAG and expert embeddings, deploy on HF Spaces and Inference Endpoints for infinite scalability, integrate monitoring with Prometheus, test enterprise use cases like secure chatbots, produce production-ready deliverables with Docker and API, and conclude with a pitch of your solutions, ready to impress employers and clients with your elite Hugging Face skills.