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Training Red Teaming LLM - Securing Vulnerable AI Models

Ref: OPY960
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 fundamentals of LLM red teaming to identify vulnerabilities in certified professional training.
  • Develop practical skills in prompt attacks on AI models for enterprises.
  • Design defense strategies against jailbreaks and LLM manipulations.
  • Implement red teaming tests tailored to professional and certification needs.
  • Optimize LLM security through practical exercises in Qualiopi-certified training.
  • Evaluate AI risks and propose remediations for enterprise-level expertise.

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 1Introduction to LLM Red Teaming: Theoretical Basics and Common Threats (OWASP Tools, Real Cases)

Discover the principles of red teaming applied to LLMs, explore typical vulnerabilities like prompt injections and jailbreaks through interactive presentations and analyses of real hacked company cases, install essential tools such as Garak and Promptfoo, perform first supervised exercises to identify basic weaknesses, obtain deliverables like an introduction report to AI risks, consolidating your beginner skills in professional security.

Module 2Adversarial Attacks in LLM Red Teaming: Malicious Prompts and Extractions (GARAK Methods, Practical Exercises)

Dive into prompt injection and data leakage attacks on LLMs like GPT or Llama, use GARAK frameworks to simulate real scenarios, chain practical exercises on open-source models, analyze impacts on enterprise applications, generate detailed attack reports, test basic defenses like input filtering, apply concrete enterprise use cases, strengthening your beginner mastery of LLM red teaming in certified training.

Module 3Advanced LLM Red Teaming Techniques: Jailbreaks and Role-Playing (NeMo Guardrails Tools, Simulations)

Master jailbreaks via role-playing and DAN prompts on various LLMs, deploy NeMo Guardrails to test robustness, conduct team attack simulations on professional cases, evaluate model failures and success metrics, produce deliverables like vulnerability matrices, explore induced biases and hallucinations, adapt strategies to enterprise contexts through intensive practical workshops, boosting your red teaming skills for certified AI security.

Module 4Defenses and Mitigation in LLM Red Teaming: Hardening and Monitoring (Promptfoo, Custom Dashboards)

Design defenses against red teaming attacks, implement guardrails and fine-tuning on vulnerable LLMs, use Promptfoo for automated benchmarks, monitor in real-time via Grafana dashboards, test remediations on real enterprise scenarios, generate applicable AI security policies, analyze ROI of measures through guided exercises and expert feedback, deliverables include hardening action plans, perfecting your beginner expertise in professional LLM protection.

Module 5Final LLM Red Teaming Project: Complete Audit and Report (Certified Deliverables, Q&A)

Conduct a complete red teaming audit on a selected enterprise-simulated LLM, chain attacks, defenses, and metric evaluations, compile an executive report with actionable recommendations, present findings in a professional pitch, benefit from expert Q&A for clarifications, obtain Qualiopi certification validating skills, apply all learnings in real contexts, strengthening your portfolio for career transition or upskilling in secure AI.

Evaluation method

  • Daily interactive quizzes on LLM red teaming concepts.
  • Practical case studies with personalized feedback.
  • Final LLM audit project graded by certified experts.

Learning method

  • Hands-on practical methods with real tools like GARAK.
  • Real case studies of companies victimized by LLM attacks.
  • Mentored sessions in small groups for beginners.
  • Post-training resources for continuous development.

Methods, materials and delivery

The Training Red Teaming LLM - Securing Vulnerable 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 Red Teaming LLM - Securing Vulnerable 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 Red Teaming LLM - Securing Vulnerable 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

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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