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.

What is the duration of the Training Hugging Face - Master Open-Source AI Models training?

The Training Hugging Face - Master Open-Source AI Models training takes place over 28 hours. The program is structured in progressive modules for optimal skill development.

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 Training Hugging Face - Master Open-Source AI Models training are: Python basics, introductory machine learning knowledge.. A preliminary interview validates your eligibility.

What are the objectives of the Training Hugging Face - Master Open-Source AI Models training?

The objectives of the Training Hugging Face - Master Open-Source AI Models training are: 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. Upon completion, you will be able to put these skills into practice.

Is the training available in person?

Yes, the Training Hugging Face - Master Open-Source AI Models training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training Hugging Face - Master Open-Source AI Mo... | 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 Training Hugging Face - Master Open-Source AI Models 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 Training Hugging Face - Master Open-Source AI Models 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 Training Hugging Face - Master Open-Source AI Models 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 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.