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Training AI Red Teaming - Securing AI Models in the Enterprise

Ref: DCT818
10 people max.
4375€ 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 red teaming applied to professional AI
  • Identify common vulnerabilities in enterprise AI models
  • Develop skills in adversarial attacks to test robustness
  • Implement AI red teaming tools in certifying scenarios
  • Design mitigation strategies to secure AI deployments
  • Optimize model validation processes in production

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 1AI Red Teaming Fundamentals: Threats and Methodological Framework (OWASP, MITRE)

Introduction to red teaming principles adapted to AI, analysis of specific risks such as data poisoning and prompt attacks, hands-on with the OWASP Top 10 for LLM framework, practical exercises on identifying vulnerabilities in a simple model, creation of a preliminary threat report for a real enterprise case, with personalized trainer feedback to anchor professional skills.

Module 2Adversarial Threats in AI Red Teaming: Attacks and Tools (Adversarial Robustness Toolbox)

Exploration of classic adversarial attacks on vision and language models, use of the Adversarial Robustness Toolbox to generate imperceptible perturbations, practical simulations of malicious prompt injections on open-source LLMs, jailbreak testing on ChatGPT-like models, analysis of business impacts such as sensitive data leaks, development of a complete attack scenario with a proof-of-concept deliverable.

Module 3Advanced AI Red Teaming Techniques: Jailbreaks and Poisoning (Garak, Garble)

Deep dive into jailbreaking techniques to bypass safeguards in generative AI, experimentation with Garak and Garble for automated vulnerability scanning, implementation of poisoning attacks on training datasets, practical cases inspired by real enterprise incidents, development of a custom Python script to reproduce an attack, discussion on ethical and regulatory implications with production of a structured test plan.

Module 4Practical AI Red Teaming Tools: Automation and Evaluation (PromptInject, NeMo Guardrails)

Mastery of open-source tools like PromptInject for testing injections and NeMo Guardrails for protection, automation of red teaming campaigns via Python scripts and Jupyter, exercises on a red thread enterprise project with multi-model robustness evaluation, measurement of success metrics such as ASR and robustness, pair collaboration to simulate a red team, generation of visual reports with dashboards to communicate findings to stakeholders.

Module 5Mitigation and Reporting in AI Red Teaming: Best Practices and Deployment (RAI Frameworks)

Synthesis of defenses against identified attacks, implementation of techniques like adversarial training and prompt filters, use of RAI frameworks for certifying audits, finalization of the red thread project with an executive report and actionable recommendations, simulation of a client debrief in an enterprise setting, preparation for personal certification via quiz and defense, access to a post-training toolkit for immediate production application.

Evaluation method

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical exercises
  • Defense of the red thread project in front of the trainer

Learning method

  • Courses led by an expert trainer in active practice
  • Practical exercises on real enterprise cases
  • Progressive red thread project throughout the training
  • Complete course materials provided to each participant

Methods, materials and delivery

The Training AI Red Teaming - Securing AI Models in the Enterprise 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 AI Red Teaming - Securing AI Models in the Enterprise 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 AI Red Teaming - Securing AI Models in the Enterprise 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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