Training AI Red Teaming - Securing Adversarial AI Models

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: TWP182
10 people max.
$4,620
In-company rate: from $7,865 for the whole team
On-site and certification exam on quote
4 days
Onsite

Don't let this gap widen

Why this program matters

  • Without mastering AI red teaming, 85% of AI models remain vulnerable to adversarial attacks, resulting in data breaches that cost an average of 4,5 million euros per incident according to IBM.

  • Companies lose 30% in operational performance against secured competitors, with manipulated models producing up to 40% critical errors in production.

  • In 2024, 62% of cybersecurity recruiters reject candidates lacking AI red teaming skills, risking career obsolescence and massive GDPR fines.

  • Act now to protect your AI assets.

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

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  • Palo Alto Networks
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  • VMware
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  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

AI Red Teaming training objectives

  • Master AI red teaming techniques to test model robustness in enterprise settings
  • Develop professional skills in adversarial attacks on AI
  • Design certifying test scenarios to secure AI systems
  • Implement AI red teaming tools in real projects
  • Optimize AI defenses against advanced threats in certifying training
  • Evaluate AI model vulnerabilities for professional securing

Program

AI Red Teaming curriculum: 4 modules over 4 days

Module 1 : AI Red Teaming Fundamentals: Methodologies and Evaluation Tools (Adversarial Robustness Frameworks, Python Libraries)

Dive into the principles of red teaming applied to AI, install environments like CleverHans and Foolbox to simulate threats, analyze concrete cases of attacks on image classification models, perform your first adversarial example tests on real datasets, produce an initial vulnerability report with practical recommendations to strengthen professional training.

Module 2 : Advanced AI Red Teaming Attacks: Adversarial Example Generation (FGSM, PGD, CW, Black-Box Attacks)

Explore the most sophisticated AI red teaming attacks, generate imperceptible perturbations using algorithms like Fast Gradient Sign Method and Projected Gradient Descent, test on NLP and computer vision models in enterprise conditions, refine attacks through interactive exercises on Jupyter Notebooks, evaluate the business impact of discovered vulnerabilities for immediate securing.

Module 3 : AI Red Teaming Defenses and Countermeasures: Robustness and Hardening (Adversarial Training, Detection Mechanisms)

Learn to counter threats using defensive AI red teaming techniques, implement adversarial training on your TensorFlow or PyTorch models, deploy anomaly detectors with isolation forests and autoencoders, simulate critical enterprise scenarios like AI fraud, produce optimized deliverables to certify resilience, transform weaknesses into sustainable competitive advantages.

Module 4 : Practical AI Red Teaming Simulations: Ongoing Projects and Evaluation (Red Team Operations, Certifying Reporting)

Culminate with a complete team-based AI red teaming simulation, attack and defend a deployed production AI model, use tools like the ART library for comprehensive audits, draft a professional report with success metrics and a securing roadmap, receive personalized expert feedback, leave with certifying skills ready for the enterprise.

How AI Red Teaming skills are assessed

  • Multiple-choice quiz to validate learning outcomes at the end of the training
  • Continuous assessment through practical attack exercises
  • Defense of the ongoing AI red teaming project

How the AI Red Teaming course is taught

  • Courses led by an expert trainer in AI security
  • Practical exercises on real business AI cases
  • Progressive ongoing project in AI red teaming
  • Complete course materials provided to each participant

AI Red Teaming training: access and practical arrangements

The Training AI Red Teaming - Securing Adversarial AI Models 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 - Securing Adversarial AI Models 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 Adversarial AI Models 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.

A child walking to school with a backpack
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 training?+
Hands-on work runs on adversarial Robustness Frameworks, python Libraries, FGSM, PGD, CW and black-Box Attacks. Those tools come from the AI Red Teaming program itself, delivered on site over 4 days, so participants practise on the stack they will use at work.
What can participants do after AI Red Teaming training?+
They can master AI red teaming techniques to test model robustness in enterprise settings, develop professional skills in adversarial attacks on AI and design certifying test scenarios to secure AI systems. Those are the stated objectives of the AI Red Teaming program at Intermediate level, checked by the end-of-session assessment.
What does the AI Red Teaming program cover, day by day?+
Day 1: AI Red Teaming Fundamentals: Methodologies and Evaluation Tools (Adversarial Robustness Frameworks, Python Libraries). Day 2: Advanced AI Red Teaming Attacks: Adversarial Example Generation (FGSM, PGD, CW, Black-Box Attacks). Day 3: AI Red Teaming Defenses and Countermeasures: Robustness and Hardening (Adversarial Training, Detection Mechanisms). Day 4: Practical AI Red Teaming Simulations: Ongoing Projects and Evaluation (Red Team Operations, Certifying Reporting). The AI Red Teaming program runs over 4 days, delivered on site.
How is AI Red Teaming training assessed?+
Assessment relies on multiple-choice quiz to validate learning outcomes at the end of the training, continuous assessment through practical attack exercises and defense of the ongoing AI red teaming project. Learni issues a completion certificate together with the individual assessment report at the end of the AI Red Teaming program, which an L&D team can file as evidence.
How much does AI Red Teaming training cost per participant?+
AI Red Teaming training costs $4,620 per participant. For an in-company team, the flat rate starts at $7,865 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 training take?+
4 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 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 training?+
Knowledge of machine learning, Python, and cybersecurity basics.
Is a certificate issued after AI Red Teaming 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 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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