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.
Trusted by — schools, companies and industrial groups
Learning objectives
- Master advanced red teaming techniques applied to LLMs in a professional context
- Develop advanced skills to identify vulnerabilities in enterprise artificial intelligence systems
- Design realistic attack scenarios and certifiable defense strategies
- Optimize testing processes and evaluation of risks related to language models
- Implement offensive prompt engineering frameworks tailored to organizational needs
Our social commitment
A school kit donated to a child for every training
To fight inequalities in access to education, Learni donates a complete school kit to a child in need for every training booked. You build your skills, a child heads back to school.
- Backpack, notebooks and essential supplies
- Distributed through our partner charities
- Included, at no extra cost to you
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.
Program
Module 1Theme: Fundamentals of LLM Red Teaming (methodological frameworks, OWASP tools, initial scenarios)
Participants explore the basics of red teaming applied to large language models through concrete case studies. They use specialized tools such as Garak and Promptfoo to map attack surfaces. Practical exercises allow testing of simple prompt injections on open-source models. The day concludes with the drafting of an initial vulnerability report documenting the identified risks.
Module 2Theme: Advanced attacks via prompt engineering (complex jailbreaks, chain-of-thought manipulation)
This day delves into sophisticated LLM manipulation techniques. Learners design multi-turn attacks and exploit weaknesses in chain reasoning. Practical workshops use controlled environments to measure the effectiveness of jailbreaks across multiple models. Each participant produces a technical deliverable detailing the discovered attack vectors.
Module 3Theme: LLM risk assessment and security metrics (benchmarks, scoring, audit tools)
Professionals learn to quantify risks using recognized benchmarks and automated evaluation tools. Practical sessions include configuring continuous testing pipelines and analyzing numerical results. Real enterprise cases illustrate how to integrate these metrics into AI governance. A complete audit report is produced at the end of the day.
Module 4Theme: Defenses and mitigation for LLM systems (guardrails, secure fine-tuning, monitoring)
The training addresses concrete countermeasures against attacks. Participants deploy guardrail solutions and configure real-time detection systems. Exercises focus on defensive fine-tuning and integration of contextual filters. Each exercise results in an operational deliverable ready for implementation in a professional environment.
Module 5Theme: LLM Red Teaming in an enterprise context (full simulation, reporting, certification)
The final day offers a realistic simulation of a red teaming mission. Learners conduct a complete campaign including reconnaissance, exploitation and debriefing. They produce a final report compliant with professional standards and present their recommendations. This day consolidates all acquired skills for immediate application in the enterprise.
Evaluation method
- Practical scenario with mission report
- Daily technical quizzes and final assessment
- Oral defense of the red teaming project
Learning method
- Practical workshops on secure environments
- Real-world enterprise case studies
- Pair-based guided exercises with presentations
- Access to a resources and tools platform
Methods, materials and delivery
The Training Red Teaming LLM 2026 - Securing your AI systems 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 Red Teaming LLM 2026 - Securing your AI systems 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 2026 - Securing your AI systems 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.
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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FAQ
Frequently asked questions
How much does the Training Red Teaming LLM 2026 - Securing your AI systems training cost?+
The individual price is $5,775, and the team / on-site price is $10,106 (USD). A detailed quote is sent within one business day.
How long is the Training Red Teaming LLM 2026 - Securing your AI systems 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?+
Confirmed mastery of machine learning, practical experience with LLM APIs and solid knowledge in computer security.
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
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