Training AI Red Teaming - Securing Professional AI Systems

$4,620

  • 4 days
  • Onsite
  • 10 people max.
Ref: MUF247
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 neglect AI red teaming expose their AI systems to escalating attacks.

  • Recent studies show that 60% of organizations suffered incidents tied to vulnerable models in 2023, resulting in average losses of 4,5 millions d'euros per incident.

  • Without these skills, professionals risk career setbacks and companies lose competitiveness against better-protected rivals.

  • Acting now prevents these costly consequences and secures AI projects 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
  • 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 the fundamentals of red teaming applied to AI systems in professional training.
  • Develop skills in detecting attacks on enterprise models.
  • Design adversarial testing scenarios to strengthen AI security.
  • Implement defensive prompt engineering techniques in real-world contexts.
  • Optimize red teaming processes for certifying AI projects in the enterprise.
  • Assess risks and deploy countermeasures adapted to professional environments.

Program

AI Red Teaming curriculum: 4 modules over 4 days

Module 1 : Theme: Introduction to AI red teaming and basic tools (Python, AI frameworks, simple scenarios)

Participants discover the principles of red teaming applied to artificial intelligence during this first day. They explore common model vulnerabilities, use Python for initial tests, and analyze concrete injection attack cases. Practical exercises enable simulation of adversarial interactions, with deliverables such as a report on initial risks identified for a fictional company.

Module 2 : Theme: Advanced prompt engineering techniques for red teaming (open source tools, adversarial methods)

This day deepens prompt engineering in the context of AI red teaming. Learners manipulate tools such as automated testing libraries to generate malicious prompts and evaluate their impact on models. Real enterprise cases are studied, with pair exercises resulting in deliverables of tested and documented scenarios to improve system robustness.

Module 3 : Theme: Analysis of deep learning attacks and practical simulations (frameworks, security metrics)

Participants focus on attacks targeting deep learning models. They use specialized frameworks to simulate perturbations and data extractions while measuring defense effectiveness. Group practical projects allow application of these skills to professional contexts, with deliverables including quantified analyses and recommendations for companies.

Module 4 : Theme: Deployment of red teaming strategies in the enterprise (integration, reporting, certification)

The final day focuses on integrating red teaming into enterprise processes. Learners design comprehensive plans including monitoring tools and certifying reports. Final simulations and feedback strengthen skills, with deliverables such as a personalized action plan to secure professional AI systems.

How AI Red Teaming skills are assessed

  • Interactive quizzes at the end of each day
  • Final red teaming simulation project
  • Individual report on identified vulnerabilities

How the AI Red Teaming course is taught

  • Practical exercises on secure AI environments
  • Real-world enterprise case studies
  • Pair work for simulations
  • Personalized feedback from expert trainers

AI Red Teaming training: access and practical arrangements

The Training AI Red Teaming - Securing Professional 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 Professional 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 Professional 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 python, AI frameworks, simple scenarios, open source tools, adversarial methods and frameworks. 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 the fundamentals of red teaming applied to AI systems in professional training, develop skills in detecting attacks on enterprise models and design adversarial testing scenarios to strengthen AI security. Those are the stated objectives of the AI Red Teaming program at Beginner level, checked by the end-of-session assessment.
What does the AI Red Teaming program cover, day by day?+
Day 1: Theme: Introduction to AI red teaming and basic tools (Python, AI frameworks, simple scenarios). Day 2: Theme: Advanced prompt engineering techniques for red teaming (open source tools, adversarial methods). Day 3: Theme: Analysis of deep learning attacks and practical simulations (frameworks, security metrics). Day 4: Theme: Deployment of red teaming strategies in the enterprise (integration, reporting, certification). The AI Red Teaming program runs over 4 days, delivered on site.
How is AI Red Teaming training assessed?+
Assessment relies on interactive quizzes at the end of each day, final red teaming simulation project and individual report on identified vulnerabilities. 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 of artificial intelligence and Python programming to follow the practical exercises.
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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