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 Prompt Injection Detection - Secure AI with Expert Vision training are: Advanced mastery of OpenCV and Python, experience in OCR, deep learning, and security of generative AI models. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Training Prompt Injection Detection - Secure AI with Expert Vision training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Training Prompt Injection Detection - Secure AI… | 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.

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Methods, approaches, and teaching resources

The Training Prompt Injection Detection - Secure AI with Expert Vision 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 Prompt Injection Detection - Secure AI with Expert Vision 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 Prompt Injection Detection - Secure AI with Expert Vision 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 advanced prompt injection detection using OpenCV in certified professional training

Develop expert skills in visual analysis to secure corporate AI systems

Design robust OCR pipelines resistant to malicious injections in real-world contexts

Implement visual anomaly detection algorithms to protect LLM models

Optimize detection performance by integrating Computer Vision and generative AI

Deploy certified solutions tailored to the professional needs of IT teams

Training program

Module 1Fundamentals of Prompt Injection Detection: OpenCV for Advanced Visual Analysis (theoretical models, first scripts)

Discover vulnerabilities of prompt injections in visual AIs, explore OpenCV to extract and analyze hidden texts via OCR, perform practical exercises on real datasets of manipulated images, configure your first syntactic anomaly detectors, produce an initial report of identified vulnerabilities, integrate corporate cases to contextualize immediate risks.

Module 2Advanced Prompt Injection Detection: OCR & Segmentation with OpenCV (deep learning techniques, predictive masks)

Dive into expert OCR to detect subtle injections in scanned documents, use OpenCV and Tesseract to segment suspicious regions, train CNN models on real attacks, test in real-time on video streams, optimize detection thresholds via cross-validation, generate deliverables like interactive dashboards, apply to secure corporate professional scenarios.

Module 3Hybrid Prompt Injection Detection: Fusion of Computer Vision and LLM (end-to-end pipelines, robustness to attacks)

Integrate computer vision with LLM semantic analysis to detect contextual injections, deploy OpenCV for visual pre-filtering, simulate adversarial attacks on images and texts, measure F1-score precision on benchmarks, adjust hyperparameters in groups, produce a deployable functional prototype, adapt to certified professional training needs in corporate settings.

Module 4Optimization of Prompt Injection Detection: Production Performance (GPU acceleration, real-time monitoring)

Accelerate detections via CUDA and optimized OpenCV, implement real-time monitoring for AI streams, test resilience against zero-day injections, analyze ROC-AUC metrics on concrete cases, integrate automated alerting, develop secure APIs for corporate integration, validate deliverables via peer audit, prepare scalable deployment in professional environments.

Module 5Deployment & Practical Cases in Prompt Injection Detection: Real Computer Vision Projects (enterprise strategies, certification)

Conduct a capstone project on production detection, integrate OpenCV into DevSecOps pipelines, evaluate business impacts via simulated ROI, share experience feedback in peer-review, obtain Qualiopi certified attestation, plan post-training follow-up for lasting skills, apply to real corporate challenges for immediate AI system security.