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.
Learning objectives
- Master AI red teaming techniques to test the robustness of professional models
- Identify vulnerabilities in generative AI in a certified enterprise context
- Develop advanced adversarial attacks on LLMs and diffusion models
- Implement proactive defenses against emerging 2026 threats
- Design AI red team simulations for secure internal teams
- Optimize red teaming skills through certified practical cases
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 1AI Red Teaming Fundamentals: Evaluate AI Model Risks (Adversarial Robustness Toolbox, CleverHans, Automated Audits)
Dive into the initial evaluation of AI models through practical exercises on real datasets, install and configure tools like Adversarial Robustness Toolbox to generate subtle adversarial perturbations, test FGSM and PGD attacks on image classifiers, analyze business impacts with robustness metrics, produce a preliminary report on exploitable vulnerabilities in an enterprise context, transform theory into actionable skills from the first day.
Module 2Advanced AI Red Teaming Attacks: Prompt Injection and Jailbreaking LLMs (Garak, Promptfoo, Backdoor Detection)
Explore sophisticated attacks on generative AI using tools like Garak and Promptfoo to inject malicious prompts, simulate jailbreaks on GPT-like models through hands-on exercises, generate poisoned data for hidden backdoors, measure attack success rates in critical enterprise scenarios, collaborate in pairs to refine evasive payloads, deliver a comparative analysis of 2026 vectors, gain confidence to audit your own AI deployments flawlessly.
Module 3Defenses and AI Red Teaming Simulations: Pro Exercises and 2026 Reporting (Red Team Blueprints, Mitigation Frameworks)
Build robust defenses via adversarial fine-tuning and distillation, deploy full red team simulations on anonymized enterprise cases, integrate mitigation frameworks like Alignment Safety Kit, perform multi-threat stress-tests with automated reporting, present a personalized 2026 defense blueprint, validate skills through a final certifying audit, leave with a production-ready toolkit to secure your AIs starting tomorrow.
Evaluation method
- Multiple-choice quiz to validate AI red teaming technical skills
- Assessment of practical attack/defense exercises
- Presentation of the enterprise red team simulation project
Learning method
- Courses led by active AI red teaming experts
- Practical exercises on real 2026 AI threats
- Full red team simulation thread project
- Detailed course materials and online resources
Methods, materials and delivery
The Training AI Red Teaming - Anticipate AI Threats 2026 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 AI Red Teaming - Anticipate AI Threats 2026 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 - Anticipate AI Threats 2026 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 AI Red Teaming - Anticipate AI Threats 2026 training cost?+
The individual price is $3,465 (USD). A detailed quote is sent within one business day.
How long is the Training AI Red Teaming - Anticipate AI Threats 2026 training?+
The training lasts 3 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?+
Machine learning fundamentals, intermediate Python, basic knowledge of offensive cybersecurity
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.
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