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 advanced red teaming techniques applied to AI to strengthen the security of professional systems
- Develop advanced skills in detecting and exploiting vulnerabilities in artificial intelligence models
- Design realistic attack scenarios tailored to enterprise and certification environments
- Implement robust defense strategies against emerging threats in deep learning
- Optimize prompt engineering processes to test the resilience of AI systems
- Train professionals capable of auditing and securing AI deployments in production
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 and reconnaissance in AI Red Teaming (OWASP tools, adversarial frameworks, initial audit deliverables)
Participants discover the principles of red teaming applied to AI, explore OWASP LLM tools and adversarial frameworks. They perform practical reconnaissance exercises on target models, identify attack surfaces and produce an initial audit deliverable. The training emphasizes real-world enterprise cases and certifiable documentation methods.
Module 2Theme: Adversarial attacks and prompt injection in AI Red Teaming (TensorFlow, PyTorch, advanced scenarios)
This day deepens techniques of adversarial attacks and prompt injection. Learners use TensorFlow and PyTorch to generate adversarial examples, test complex scenarios and analyze system failures. Real enterprise cases enable the design of targeted attacks and documentation of results for a professional report.
Module 3Theme: Exploitation and evasion in AI Red Teaming (exfiltration tools, deep learning models, technical deliverables)
Trainees explore exploitation and evasion phases against deep learning models. They manipulate data exfiltration tools, test defense bypasses and create sophisticated payloads. Each exercise results in the production of technical deliverables usable in professional and certification contexts.
Module 4Theme: Defense, reporting and certification in AI Red Teaming (mitigation methods, monitoring tools, final report)
The final day focuses on defense strategies and report writing. Participants learn to implement mitigation measures, configure monitoring tools and finalize a complete AI Red Teaming audit report. A collective presentation exercise validates acquired skills for immediate application in the enterprise.
Evaluation method
- Practical red teaming simulation on an AI model
- Production and presentation of a comprehensive audit report
- Technical quiz and evaluation of daily deliverables
Learning method
- Practical workshops with professional tools
- Real-world use cases provided by the instructor
- Personalized feedback after each exercise
- Access to a post-training resource platform
Methods, materials and delivery
The Training AI Red Teaming 2026 - Mastering Advanced AI Security 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 2026 - Mastering Advanced AI Security 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 2026 - Mastering Advanced AI Security 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 2026 - Mastering Advanced AI Security training cost?+
The individual price is $4,620 (USD). A detailed quote is sent within one business day.
How long is the Training AI Red Teaming 2026 - Mastering Advanced AI Security training?+
The training lasts 4 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?+
Mastery of fundamental AI concepts, experience in Python programming, solid knowledge of information security and practical experience with machine learning models.
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
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