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 Transformers library to develop secure professional AI applications.
- Implement robust NLP processing pipelines integrating OWASP standards in enterprise settings.
- Optimize fine-tuning of pre-trained models with certified DevSecOps practices.
- Deploy Transformers in secure environments, protecting against adversarial attacks.
- Design AI solutions compliant with modern web application security requirements.
- Develop practical web security skills for production Transformers projects.
- Evaluate and audit Hugging Face models' vulnerabilities in a professional context.
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.
Program
Module 1Hugging Face Transformers Fundamentals: Secure Installation and First Models (Python, Tokenizers, OWASP Basics)
Discover the basics of Hugging Face Transformers through secure installation in a virtual environment, configure tokenizers for NLP, explore BERT and GPT models adapted for application security, perform practical exercises on named entity extraction protected against injections, generate your first pipelines with input validation, and produce an initial OWASP compliance report to validate professional skills acquired remotely.
Module 2Fine-tuning Hugging Face Transformers: Secure Optimization (Trainer API, Datasets, DevSecOps Pipelines)
Dive into fine-tuning Transformers models with the Trainer API, prepare secure datasets against data poisoning, integrate automated DevSecOps checks to detect vulnerabilities, apply robust data augmentation techniques, test on concrete cases of sensitive web applications, optimize hyperparameters for certified performance, and deliver a production-ready fine-tuned model with integrated security audit.
Module 3Advanced Security for Hugging Face Transformers: Attacks and Defenses (Adversarial Training, OWASP ML Top 10)
Analyze OWASP vulnerabilities specific to Transformers models such as prompt injections and model stealing, implement adversarial training to strengthen defenses, simulate real attacks on NLP pipelines, deploy safeguards with real-time monitoring, integrate web security from feature design, practice on critical enterprise scenarios, and generate risk assessment deliverables for professional DevSecOps certification.
Module 4Deploying Hugging Face Transformers: Secure Production (Inference Servers, Docker, CI/CD DevSecOps)
Master Transformers deployment in production via secure Docker and Kubernetes, configure inference servers like TorchServe with authentication, automate DevSecOps CI/CD pipelines for automatic scans, test scalability under load with DDoS protections, integrate secure APIs for web applications, complete a final certifying project on a real app, and obtain a post-training maintenance plan for sustainable enterprise skills.
Evaluation method
- Daily interactive quizzes on OWASP and Transformers to validate theoretical knowledge.
- Practical project for secure deployment of a Hugging Face model, evaluated by experts.
- Qualiopi certification attestation issued after final exam and deliverables portfolio.
Learning method
- 70% hands-on with exercises on real datasets and simulated attacks to anchor skills.
- 30% theory focused on OWASP and DevSecOps applied to Transformers in professional context.
- Case studies of companies that suffered AI breaches for impactful pedagogy.
- Unlimited access to a post-training resource platform for autonomous review.
Methods, materials and delivery
The Training Hugging Face Transformers - Securing Advanced AI Models 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 - Securing Advanced AI Models 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 - Securing Advanced AI Models 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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