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Training Red Teaming LLM - Exploiting Advanced AI Vulnerabilities

Ref: KDN175
10 people max.
4400€ 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
4 journées
distanciel

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Learning objectives

  • Master LLM red teaming techniques to identify hidden vulnerabilities in certified professional training
  • Develop adversarial attack skills on LLMs to secure enterprise deployments
  • Design advanced red teaming strategies tailored to critical professional contexts
  • Implement LLM red teaming tools through practical exercises for skills certification
  • Optimize defenses against LLM jailbreaks via expert red teaming simulations
  • Evaluate enterprise LLM risks using professional red teaming protocols

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 1LLM Red Teaming Fundamentals: Advanced Methodologies and Tools (Frameworks, Adversarial Datasets)

Dive into expert LLM red teaming methodologies with analysis of prompt injection vulnerabilities, tools like Garak and PromptFoo for automated scans, practical exercises on semantic jailbreaks, real-world OpenAI data leak cases, deliverables include initial vulnerability reports and custom Python scripts, all in an interactive in-person format for immediate skills.

Module 2Adversarial LLM Red Teaming Attacks: Jailbreaks and Poisoning (Black-Box, White-Box Techniques)

Explore advanced jailbreak attacks on LLMs such as DAN and roleplay exploits, data poisoning for bias injection, using TensorFlow Adversarial Robustness Toolbox, real simulations on GPT-4 and Llama2, hands-on exercises for crafting malicious prompts, robustness metrics analysis, deliverables include successful attack reports and preliminary countermeasures, immersive pedagogy in small groups.

Module 3Enterprise LLM Red Teaming Simulations: Multi-Agent Scenarios and Defense Evasion (Guardrails, RAG)

Build complex LLM red teaming scenarios with multi-adversarial agents, guardrail evasion via chain-of-thought poisoning, RAG vulnerability testing, tools like NeMo Guardrails and LangChain for audits, real tech company breach case studies, practical workshops for simulated attack deployment, business impact evaluation, deliverables include custom red teaming playbooks and security metrics dashboards.

Module 4LLM Red Teaming Defenses and Reporting: Optimization and Certification (Benchmarks, Executive Reports)

Finalize with LLM hardening against red teaming via adversarial fine-tuning and robust RLHF, HELM and BigBench benchmarks for validation, drafting executive reports compliant with ISO 42001 standards, practical skills certification exercises, peer review of attacks/defenses, deliverables include complete red teaming portfolio and secure enterprise deployment plan, closing with overall evaluation for certified expertise.

Evaluation method

  • Advanced LLM red teaming quizzes with real-world cases
  • Practical attack simulations graded by experts
  • Individual red teaming reports and peer review
  • Final certification exam for expert skills

Learning method

  • 90% hands-on practical LLM red teaming
  • Analysis of global AI breach case studies
  • Deployment of expert open-source tools live
  • Personalized feedback from certified trainers

Methods, materials and delivery

The Training Red Teaming LLM - Exploiting Advanced AI Vulnerabilities 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 - Exploiting Advanced AI Vulnerabilities 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 - Exploiting Advanced AI Vulnerabilities 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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