Training AI Red Teaming 2026 - Protecting Your AI Systems

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: FHB610
10 people max.
$5,775
In-company rate: from $10,395 for the whole team
On-site and certification exam on quote
5 days
Onsite

Don't let this gap widen

Why this program matters

  • Companies that neglect AI red teaming face increasingly frequent adversarial attacks.

  • According to recent studies, 68% of AI systems in production have exploitable vulnerabilities.

  • The consequences include data leaks, average financial losses of 4,5 million euros, and lasting damage to reputation.

  • Without red teaming skills, technical teams lose credibility and AI projects risk being abandoned.

  • Acting now avoids these pitfalls and secures your investments for the long term.

Allan BUSI, Learni trainer · AI expert
Allan BUSI

Learni trainer · AI expert

73%productivity gap
×3cost of inaction
Flag of the United StatesBuilt for US teams
Payment by wire transferEnhanced confidentialityPerfect for companies with 50 to 500 employeesScheduling to fit any time zone

Trusted by — schools, companies and industrial groups

40,869 programs · 25 countries

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

Every program built with a dedicated engineer

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
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  • Microsoft Dynamics 365
  • Salesforce
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  • Oracle
  • Cisco
  • Fortinet
  • Palo Alto Networks
  • Aruba
  • VMware
  • Red Hat
  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

Companies: Aptar, ArcelorMittal, Equans, EDF, Ubisoft and Microsoft.

AI Red Teaming training objectives

  • Master AI red teaming techniques to identify vulnerabilities in enterprise AI systems
  • Develop professional skills in adversarial attack testing and prompt injection
  • Design red teaming scenarios tailored to Deep Learning use cases
  • Implement defense strategies to strengthen AI model resilience
  • Optimize certified red teaming training processes within technical teams
  • Assess AI risks and deploy security audits in a professional context

Program

AI Red Teaming curriculum: 5 modules over 5 days

Module 1 : Theme: Fundamentals of AI red teaming (framework, tools like ART, and evaluation methods)

Participants explore the basics of AI red teaming through concrete case studies of attacks on AI models. They use tools such as the Adversarial Robustness Toolbox to simulate injections and analyze weaknesses in Deep Learning systems. Practical exercises on real datasets enable risk mapping and production of an initial audit report.

Module 2 : Theme: Adversarial attacks and red teaming (techniques, testing, and simulation tools)

This day deepens methods of adversarial attacks applied to AI red teaming. Learners test perturbations on vision and language models using open-source frameworks. They perform malicious prompt engineering exercises and deliver a mapping of identified attack vectors.

Module 3 : Theme: Offensive prompt engineering in red teaming (strategies and AI scenarios)

Professionals learn to design adversarial prompts to test LLM robustness. Using tools such as Garak and simulation environments, they conduct red teaming campaigns on enterprise use cases. Each exercise results in documented and reproducible attack scenario deliverables.

Module 4 : Theme: Defense and mitigation in AI red teaming (tools, methods, and reporting)

Participants deploy countermeasures against attacks identified in previous days. They configure detection pipelines and test robustness techniques with specialized libraries. Practical workshops culminate in a complete mitigation plan and an enterprise-ready red teaming report.

Module 5 : Theme: Comprehensive audit in AI red teaming (integration, evaluation, and certification)

The final day consolidates skills through a final red teaming project on a real AI system. Learners integrate all tools and methods covered to produce a complete professional audit. They present their deliverables and receive a final Qualiopi-oriented certification evaluation.

How AI Red Teaming skills are assessed

  • Interactive quizzes on red teaming techniques
  • Practical project simulating attacks with a report
  • Oral presentation of the final mitigation plan

How the AI Red Teaming course is taught

  • Guided exercises using AI testing tools
  • Real-world enterprise use cases
  • Paired work with presentations
  • Personalized feedback from expert trainers

AI Red Teaming training: access and practical arrangements

The Training AI Red Teaming 2026 - Protecting 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 AI Red Teaming 2026 - Protecting 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 AI Red Teaming 2026 - Protecting 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.

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.

Our method

How Learni guarantees the quality of your AI Red Teaming training

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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Our social commitment

A school kit donated to a child for every training booked

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
Enroll and offer a kit
FAQ

AI Red Teaming: frequently asked questions

Which tools are used in AI Red Teaming 2026 training?+
Hands-on work runs on framework, tools like ART, evaluation methods, techniques, testing and simulation tools. Those tools come from the AI Red Teaming 2026 program itself, delivered on site over 5 days, so participants practise on the stack they will use at work.
What can participants do after AI Red Teaming 2026 training?+
They can master AI red teaming techniques to identify vulnerabilities in enterprise AI systems, develop professional skills in adversarial attack testing and prompt injection and design red teaming scenarios tailored to Deep Learning use cases. Those are the stated objectives of the AI Red Teaming 2026 program at Intermediate level, checked by the end-of-session assessment.
What does the AI Red Teaming 2026 program cover, day by day?+
Day 1: Theme: Fundamentals of AI red teaming (framework, tools like ART, and evaluation methods). Day 2: Theme: Adversarial attacks and red teaming (techniques, testing, and simulation tools). Day 3: Theme: Offensive prompt engineering in red teaming (strategies and AI scenarios). Day 4: Theme: Defense and mitigation in AI red teaming (tools, methods, and reporting). Day 5: Theme: Comprehensive audit in AI red teaming (integration, evaluation, and certification). The AI Red Teaming 2026 program runs over 5 days, delivered on site.
How is AI Red Teaming 2026 training assessed?+
Assessment relies on interactive quizzes on red teaming techniques, practical project simulating attacks with a report and oral presentation of the final mitigation plan. Learni issues a completion certificate together with the individual assessment report at the end of the AI Red Teaming 2026 program, which an L&D team can file as evidence.
How much does AI Red Teaming 2026 training cost per participant?+
AI Red Teaming 2026 training costs $5,775 per participant. For an in-company team, the flat rate starts at $10,395 for the whole group, up to 8 people. The detailed quote, sent within one business day, adjusts the amount to the format and how far the syllabus is tailored to your team.
How long does AI Red Teaming 2026 training take?+
5 days, available live online (US time zones) or on-site at your offices. Half-day tracks spread over several weeks are possible so the team stays operational.
Who pays for AI Red Teaming 2026 training?+
Most US teams pay directly through their company L&D or training budget. Learni invoices in US dollars and accepts bank transfer (ACH/wire) or card, with volume pricing for teams. A purchase order is welcome.
What do participants need to know before AI Red Teaming 2026 training?+
Intermediate knowledge in Python, machine learning, and prompt engineering, plus hands-on experience with AI models in production.
Is a certificate issued after AI Red Teaming 2026 training?+
Yes. A Learni completion certificate is issued, along with the individual evaluation report. Learni is a certified training provider and prepares for third-party certifications, but does not award them itself.
Does Learni provide the equipment for AI Red Teaming 2026 training?+
No. A computer and a stable internet connection are required for each participant. Learni provides the learning platform, the trainer and all course materials.
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