Is the training Qualiopi certified?

Yes, Learni is a Qualiopi-certified training organization. This certification guarantees the quality of our courses and enables funding through OPCO and other mechanisms.

How can I fund my training?

Our courses are eligible for OPCO funding. Learni supports you through the funding process. A personalized quote is available upon request.

What are the prerequisites for this training?

The prerequisites for the Training AI Red Teaming - Securing AI Models in the Enterprise training are: Basic Python knowledge and machine learning fundamentals. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training AI Red Teaming - Securing AI Models in the Enterprise training is available in remote. The format can be adapted to your needs (inter, intra, custom).

Training AI Red Teaming - Securing AI Models in ... | Learni

The story of Learni

Founded by passionate advocates of learning and innovation, Learni set out to make professional training accessible to everyone, everywhere in the world. Our team works in the largest cities such as Paris, Lyon, Marseille, and internationally, to support talents and organizations in their skills development.

Configure your training

Response within 24hNo commitment100% free

8 spots remaining for the next session

FormatParticipantsDateDetails

Which format do you prefer?

Methods, approaches, and teaching resources

The Training AI Red Teaming - Securing AI Models in the Enterprise training is delivered in-person or remotely (blended-learning, e-learning, virtual classroom, remote in-person). At Learni, a Qualiopi-certified training organization, each program is designed to maximize skills acquisition, regardless of the training mode chosen.

The trainer alternates between demonstrative, interrogative, and active methods (through practical exercises and/or real-world scenarios). This pedagogical approach ensures concrete and directly applicable learning in the workplace.

Teaching resources provided

To ensure the quality of the Training AI Red Teaming - Securing AI Models in the Enterprise training, Learni provides the following teaching resources:

Mac or PC computers, high-speed fiber internet, whiteboard or flipchart, video projector or interactive touchscreen (for remote sessions)
Training environments installed on workstations or accessible online
Course materials, practical exercises, and supplementary resources
Post-training access to materials and teaching resources

For in-house training at a location external to Learni, the client ensures and commits to having all necessary teaching materials (IT equipment, internet connection...) for the proper conduct of the training action in accordance with the prerequisites indicated in the communicated training program.

* contact us for remote feasibility** ratio varies depending on the training followed

Assessment methods

The assessment of skills acquired during the Training AI Red Teaming - Securing AI Models in the Enterprise training is carried out through:

During training: case studies, practical exercises, and professional scenarios
At the end of training: self-assessment questionnaire and skills evaluation by the trainer
After training: training completion certificate detailing acquired skills

Training accessibility

Learni is committed to the accessibility of its professional training programs. All our training programs are accessible to people with disabilities. Our teams are available to adapt teaching methods to your specific needs. Do not hesitate to contact us for any accommodation request.

Training objectives

Master the fundamentals of AI Red Teaming to test professional models

Develop skills in identifying AI vulnerabilities in enterprise settings

Design certified simulated attacks on real AI systems

Implement AI Red Teaming tools for secure audits

Optimize defenses against emerging AI threats in 2026

Produce actionable AI Red Teaming reports in a professional context

Training program

Module 1AI Red Teaming Fundamentals: Methodology and Ethical Framework (Introductory Tools, Scenarios)

Discover the essential principles of AI Red Teaming through concrete cases of vulnerable companies, install secure test environments with Python and Hugging Face, explore common threats like hidden biases and adversarial injections, conduct your first simulated audit on an open-source model, produce a preliminary report, and receive personalized feedback from the trainer to anchor your skills from the first day.

Module 2AI Red Teaming Vulnerabilities: Risk Analysis of AI Models (Prompts, Poisoned Data)

Dive into the specific weaknesses of LLMs and GANs through practical exercises on real datasets, test prompt injection attacks using tools like Garak and Adversarial Robustness Toolbox, simulate enterprise scenarios impacted by sensitive data leaks, analyze results in real time, build a customized detection plan, and integrate robustness metrics to evaluate the effectiveness of your AI Red Teaming tests.

Module 3AI Red Teaming Attacks: Advanced Adversarial Techniques (Backdoors, Evasion)

Master adversarial attacks by generating perturbed examples with TensorFlow and PyTorch, apply evasion methods to computer vision models, reproduce real enterprise cases affected by AI manipulations, refine your automation scripts for scalable tests, measure the business impact of discovered vulnerabilities, and develop basic countermeasures to immediately strengthen your professional projects.

Module 4AI Red Teaming Tools: Frameworks and Automation (Garak, Robust Intelligence)

Get hands-on with leading tool suites like Garak, CheckList, and LangChain for automated audits, set up CI/CD pipelines tailored to enterprise AI Red Teaming, test on your ongoing project with customized datasets, optimize workflows for rapid iterations, generate visual vulnerability dashboards, and prepare deliverables ready for certified reports to management.

Module 5AI Red Teaming Synthesis: Reporting and Mitigation 2026 (Recommendations, Trends)

Compile your findings into a complete professional report with actionable templates, anticipate 2026 AI threats like multi-modal attacks, implement mitigation strategies with fine-tuning and RAG, present your ongoing project in a live defense, receive certification of acquired skills, and gain access to a community for post-training support to enrich your enterprise practices.