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.
Learning objectives
- Master the Hugging Face Hub to access thousands of pre-trained models
- Fine-tune transformers with PEFT and LoRA for optimal performance
- Deploy AI pipelines on Spaces and Inference Endpoints
- Optimize models for production with quantization and distillation
- Integrate Hugging Face into DevOps and cloud workflows
- Analyze and benchmark models for real business cases
- Develop custom AI agents with Transformers Agents
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 mastering Hugging Face, your AI projects stagnate: 70% of data scientists lose 20h/week reinventing the wheel on datasets and fine-tuning, cloud costs explode x3 without PEFT optimization, competitors surpass you with Spaces deployments in hours vs your weeks, 40% of ML models fail in production due to unmanaged latency, business ROI halved without custom agents, stay behind while rivals scale in generative AI, invest now or pay the price of obsolescence.
Program
Module 1Hugging Face Hub: Explore Advanced Datasets and Models (Transformers Library)
Dive into the Hub to download massive datasets and SOTA models, manipulate Transformers via Python pipelines, complete BERT and GPT tokenization exercises, benchmark 5 models on NER and QA tasks, produce your first performance reports with datasets and evaluate, gain speed to scale your AI projects starting tomorrow.
Module 2Expert Fine-Tuning: PEFT, LoRA and QLoRA on Hugging Face (Trainer API Tools)
Set up fine-tuning scripts with minimal parameters using PEFT, test LoRA on custom datasets like GLUE, optimize hyperparameters via integrated Weights & Biases, generate deploy-ready fine-tuned model deliverables, apply to real cases in text generation, turn your data into immediate competitive advantages.
Module 3Production Deployment: Spaces, Inference Endpoints (Gradio, Streamlit)
Deploy your models on Hugging Face Spaces in 10 minutes, integrate Gradio for interactive demos, scale with serverless Inference Endpoints, test latency under real load, produce secure APIs for business apps, master automatic monitoring, launch your AI solutions in production without frustrating downtime.
Module 4Advanced Optimization: Quantization, Distillation, Pruning (Accelerate Library)
Reduce model size x4 with 8-bit quantization via BitsAndBytes, distill GPT-J into lightweight versions, apply pruning on ViT for vision, measure VRAM and speed gains on GPU/CPU, generate comparative benchmarks, integrate Accelerate for multi-GPU, boost your edge deployments in a flash.
Module 5Integrative Projects and AI Agents: Transformers Agents, Business Cases (Datasets Hub)
Build a complete RAG agent with LangChain and Hugging Face, integrate retrieval on private datasets, deploy an end-to-end pipeline for enterprise chatbots, evaluate ROI on concrete cases like e-commerce, finalize a portfolio of 3 deliverable projects, leave with expertise to dominate generative AI in the enterprise.
Evaluation method
- Daily technical quizzes
- Practical projects per day
- Final graded case study
- Skills self-assessment
Learning method
- 90% hands-on with real cases
- Live coding exercises
- Personalized coach feedback
- Post-training resources
Methods, materials and delivery
The Hugging Face Training - Master Advanced Transformers 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 Hugging Face Training - Master Advanced Transformers 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 Hugging Face Training - Master Advanced Transformers 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
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
★★★★★
« cool, j'ai appris des trucs »
★★★★★
« j'etais perdu au debut mais Ramy Saharaoui m'a pas laché, il a pris le temps. merci vraiment »
★★★★★
« la formation dev etait intense mais grave bien. merci Anthony Khelil »
★★★★★
« 😊👍 »
★★★★★
« bien 👍 »
★★★★★
« Allan Busi t'es au top, continue comme ça. formation géniale »
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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