Training AI Red Teaming - Securing Your AI Systems

$5,775

  • 5 days
  • Onsite
  • 10 people max.
Ref: XCA885
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 expose themselves to increasingly frequent attacks.

  • According to Gartner, 75% of organizations will use generative models by 2026, but more than 40% will suffer AI-related security incidents.

  • These breaches cause average financial losses of 4,5 million euros per incident and damage reputation.

  • Untrained experts see their career prospects limited amid rising demand for AI security skills.

  • Failing to act now exposes the company to major operational and regulatory 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

  • OpenAI
  • Anthropic
  • Mistral AI
  • NVIDIA
  • Google
  • Amazon Web Services
  • Microsoft Dynamics 365
  • Salesforce
  • ServiceNow
  • SAP
  • 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 advanced red teaming techniques applied to AI in a professional context
  • Develop sharp skills to identify vulnerabilities in enterprise models
  • Design realistic attack scenarios on artificial intelligence systems
  • Implement defense and mitigation strategies tailored to AI environments
  • Optimize the resilience of AI solutions against emerging enterprise threats
  • Integrate red teaming into certification training processes and governance

Program

AI Red Teaming curriculum: 5 modules over 5 days

Module 1 : Theme: Fundamentals of AI red teaming (legal framework, ART and Cleverhans tools, audit deliverables)

This day lays the foundations of red teaming applied to artificial intelligence systems. Participants explore the European regulatory framework, discover open source tools such as Adversarial Robustness Toolbox and Cleverhans, and perform an initial vulnerability audit on a classification model. Concrete business cases illustrate the risks and expected deliverables.

Module 2 : Theme: Adversarial and poisoning attacks (TensorFlow, PyTorch, industrial scenarios)

Learners design and execute adversarial attacks on vision and NLP models. They use TensorFlow and PyTorch to generate perturbed examples, simulate data poisoning scenarios in an industrial environment and analyze the impact on business performance. Practical exercises help measure robustness and document discovered vulnerabilities.

Module 3 : Theme: Prompt injection and jailbreaks (LLM, LangChain, tests on GPT and Llama)

This session focuses on advanced prompt engineering attacks against large language models. Participants test jailbreak techniques on models such as GPT and Llama using LangChain, evaluate guardrail bypasses and produce detailed vulnerability reports. Real-world role-playing scenarios strengthen operational skills.

Module 4 : Theme: Model extraction and inversion (API testing, leakage metrics, countermeasures)

Trainees learn to extract information from models via APIs and perform inversion attacks. They measure training data leaks, use quantitative metrics and develop protection strategies. Practical workshops on business cases enable delivery of a complete mitigation plan.

Module 5 : Theme: Defense, reporting and continuous integration (MLOps, dashboards, final certification)

The final day covers defense mechanisms, integration of red teaming into MLOps pipelines and writing executive reports. Participants deploy monitoring dashboards, automate robustness tests and present their defense strategy. A final assessment validates acquired skills and delivers personalized recommendations.

How AI Red Teaming skills are assessed

  • Practical AI model audit projects
  • Complete red team report
  • Oral presentation and final certification

How the AI Red Teaming course is taught

  • Practical exercises on real environments
  • Pair-based attack simulations
  • Individualized feedback each day
  • Access to a post-training resource platform

AI Red Teaming training: access and practical arrangements

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

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 legal framework, ART, cleverhans tools, audit deliverables, tensorFlow and pyTorch. Those tools come from the AI Red Teaming 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 training?+
They can master advanced red teaming techniques applied to AI in a professional context, develop sharp skills to identify vulnerabilities in enterprise models and design realistic attack scenarios on artificial intelligence systems. Those are the stated objectives of the AI Red Teaming program at Advanced 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 (legal framework, ART and Cleverhans tools, audit deliverables). Day 2: Theme: Adversarial and poisoning attacks (TensorFlow, PyTorch, industrial scenarios). Day 3: Theme: Prompt injection and jailbreaks (LLM, LangChain, tests on GPT and Llama). Day 4: Theme: Model extraction and inversion (API testing, leakage metrics, countermeasures). Day 5: Theme: Defense, reporting and continuous integration (MLOps, dashboards, final certification). The AI Red Teaming program runs over 5 days, delivered on site.
How is AI Red Teaming training assessed?+
Assessment relies on practical AI model audit projects, complete red team report and oral presentation and final certification. 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 $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 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 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?+
Mastery of machine learning, experience deploying AI models, solid foundations in penetration testing and IT security.
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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