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Training LLM Red Teaming - Securing AI Models Against Attacks

Ref: RPV170
10 people max.
From $5,775 HT / per person
Group rate: $14,438 (team / on-site)
Pay in 3 installments · On-site on request · +$540 with certification exam
5 days
Remote

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Aptar
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EDF
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Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft
Aptar
ArcelorMittal
Equans
EDF
Ubisoft
Microsoft

Learning objectives

  • Master the fundamentals of LLM red teaming in a certified professional training
  • Develop skills to identify vulnerabilities in enterprise AI models
  • Design effective adversarial tests on large language models
  • Implement defense strategies against prompting attacks
  • Optimize LLM robustness for secure deployments
  • Evaluate risks and produce certified professional reports

The Learni story

Founded by engineers and learning experts, Learni's mission is to make high-impact tech training accessible to teams everywhere. We work remotely with organizations across the US and Canada, in your time zone, to help teams upskill fast.

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.

Kheireddin KADRI
Kheireddin KADRI

Learni trainer · Data & AI expert

73%productivity gap
×3cost of inaction

Program

Module 1LLM Red Teaming Fundamentals: Threats and Vulnerabilities (Introductory Tools, Real Cases)

Discover the basics of LLMs and their inherent weaknesses during this first immersive day, exploring injection attacks, jailbreaks, and hidden biases with concrete examples like GPT-4. Use open-source tools such as Garak and PromptInject for initial tests, perform your first practical exercises on local models, produce a mapping of main risks, and receive immediate feedback to consolidate your LLM red teaming skills.

Module 2Adversarial Prompting Techniques in LLM Red Teaming: Targeted Attacks (Black-Box Methods, Test Deliverables)

Dive into malicious prompting attacks tailored to LLMs, learning to craft prompts to extract sensitive data or generate prohibited content. Test with frameworks like LangChain and Hugging Face, apply real enterprise scenarios on models like Llama 2, chain guided exercises and collaborative workshops to simulate intrusions, generate detailed attack reports, and integrate basic countermeasures to strengthen your novice expertise in LLM red teaming.

Module 3Advanced LLM Red Teaming Attacks: Jailbreaks and Poisoning (Automated Tools, Case Studies)

Explore sophisticated jailbreaks and data poisoning on LLMs in real conditions. Use tools like Neuron and Adversarial Robustness Toolbox to automate assaults, analyze concrete enterprise cases affected by AI leaks, conduct practical simulations in pairs on secure cloud APIs, document exploited attack vectors, and develop mitigation checklists, thereby consolidating your professional skills in LLM red teaming for proactive security.

Module 4Defenses and Hardening in LLM Red Teaming: Practical Countermeasures (Fine-Tuning, Robustness Evaluation)

Learn to harden LLMs against identified threats by implementing guards like LlamaGuard and defensive fine-tuning techniques with LoRA on adversarial datasets. Test resilience via standard benchmarks like HarmBench, apply exercises on simulated enterprise deployments, produce secure architectures and monitoring plans, and receive personalized coaching to master LLM red teaming at a certified professional level.

Module 5Evaluation and Reporting in LLM Red Teaming: Final Projects (Certified Reports, Enterprise Roadmap)

Finalize your training with a comprehensive capstone red teaming project on a chosen LLM, draft executive reports with vulnerability metrics and actionable recommendations, present your findings in a professional pitch, integrate visualization tools like Streamlit for impactful dashboards, benefit from expert feedback, and obtain a Qualiopi certification validating your LLM red teaming skills to boost your AI security career.

Evaluation method

  • Daily interactive quizzes on key concepts
  • Real case studies with expert grading
  • Final red teaming project evaluated live
  • Professional report certifying acquired skills

Learning method

  • Learning through practical projects on real LLMs
  • Hands-on exercises in small groups of max 10
  • Personalized feedback from certified trainers
  • Post-training support via dedicated platform
  • Attack simulations in enterprise conditions

Methods, materials and delivery

The Training LLM Red Teaming - Securing AI Models Against Attacks program is delivered onsite or remote (blended-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 LLM Red Teaming - Securing AI Models Against Attacks 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 LLM Red Teaming - Securing AI Models Against Attacks 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

Registration is possible up to 48 business hours before the start of training. All our programs are built for corporate L&D budgets and delivered onsite or remotely.

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.

FAQ

Frequently asked questions

How much does the Training LLM Red Teaming - Securing AI Models Against Attacks training cost?+
The individual price is $5,775, and the team / on-site price is $14,438 (USD). A detailed quote is sent within one business day.
How long is the Training LLM Red Teaming - Securing AI Models Against Attacks training?+
The training lasts 5 journées, available live online (US time zones) or on-site at your offices.
How is this training paid for?+
Most US teams pay directly through their company (L&D or training budget). We invoice in US dollars and accept bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
Are there any prerequisites?+
Basic knowledge of artificial intelligence, basic Python programming skills, familiarity with LLMs such as ChatGPT
Is a certificate delivered at the end?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report.
Does Learni provide the equipment?+
No. A computer and stable internet connection are required for the participant. Learni provides the educational platform, the trainer and all course materials.
On-site & remote

This training across cities

Available on-site and remotely. Pick your city to see the local training center.

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