Training AI Red Teaming - Securing AI Systems

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: LHI731
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

  • Companies that fail to master AI red teaming face increasingly frequent adversarial attacks.

  • According to Gartner, 75% of AI models in production will be vulnerable by 2025.

  • These gaps can result in major financial losses, reputational damage, and regulatory penalties.

  • Professionals without these skills see their employability shrink against rising demand for AI security specialists.

  • Acting now prevents these concrete risks.

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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  • Databricks
  • Snowflake
  • OVHcloud
  • Notion
  • AMD
  • Apple

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

AI Red Teaming training objectives

  • Master red teaming techniques applied to artificial intelligence in a professional context
  • Develop skills to identify vulnerabilities in enterprise AI models
  • Design realistic adversarial attack and prompt injection scenarios
  • Implement defense strategies and continuous evaluation of AI systems
  • Optimize the resilience of artificial intelligence solutions against emerging threats

Program

AI Red Teaming curriculum: 4 modules over 4 days

Module 1 : Theme: Fundamentals of AI Red Teaming and adversarial attacks (TensorFlow, Cleverhans, case studies)

Participants discover the principles of red teaming applied to AI systems. They explore adversarial attacks on vision and language models using tools like TensorFlow and Cleverhans. Practical exercises allow generating adversarial examples and analyzing their impact on model performance in enterprise settings.

Module 2 : Theme: Prompt injection and LLM manipulation (LangChain, OpenAI API, real scenarios)

This day focuses on vulnerabilities of large language models. Learners test prompt injection and jailbreak techniques with LangChain and the OpenAI API. They build concrete attack scenarios and assess risks for professional natural language processing applications.

Module 3 : Theme: Robustness evaluation and security metrics (Adversarial Robustness Toolbox, dashboards)

Trainees learn to measure the robustness of AI models using the Adversarial Robustness Toolbox. They create risk monitoring dashboards and conduct audits on business cases. Emphasis is placed on interpreting metrics and prioritizing technical fixes.

Module 4 : Theme: Defense strategies and secure production deployment (MLOps, continuous monitoring)

The final day covers defense methods and integrating red teaming into MLOps pipelines. Participants deploy anomaly detection solutions and continuous monitoring. They finalize a personalized action plan to strengthen the security of their organization's AI systems.

How AI Red Teaming skills are assessed

  • Knowledge validation quiz at the end of each day
  • Practical red teaming exercise on a real case
  • Delivery of an AI audit report and defense plan

How the AI Red Teaming course is taught

  • Hands-on workshops on GPU machines
  • Analysis of real AI security incidents
  • Pair work on attack scenarios
  • Personalized feedback from the expert trainer

AI Red Teaming training: access and practical arrangements

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

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 tensorFlow, cleverhans, case studies, langChain, openAI API and real scenarios. 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 red teaming techniques applied to artificial intelligence in a professional context, develop skills to identify vulnerabilities in enterprise AI models and design realistic adversarial attack and prompt injection scenarios. 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: Theme: Fundamentals of AI Red Teaming and adversarial attacks (TensorFlow, Cleverhans, case studies). Day 2: Theme: Prompt injection and LLM manipulation (LangChain, OpenAI API, real scenarios). Day 3: Theme: Robustness evaluation and security metrics (Adversarial Robustness Toolbox, dashboards). Day 4: Theme: Defense strategies and secure production deployment (MLOps, continuous monitoring). The AI Red Teaming program runs over 4 days, delivered on site.
How is AI Red Teaming training assessed?+
Assessment relies on knowledge validation quiz at the end of each day, practical red teaming exercise on a real case and delivery of an AI audit report and defense plan. 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?+
Basic knowledge in machine learning, Python and understanding of neural models.
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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