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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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Professional Training training in Fort Worth in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
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The Training Prompt Injection Detection 2026 - Detecting Expert AI Attacks 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.
To ensure the quality of the Training Prompt Injection Detection 2026 - Detecting Expert AI Attacks training, Learni provides the following 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.
The assessment of skills acquired during the Training Prompt Injection Detection 2026 - Detecting Expert AI Attacks training is carried out through:
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Learni training programs are available for inter-company and intra-company settings, both in-person and remote. Registration is possible up to 48 business hours before the start of training. Our programs are eligible for OPCO, Pôle emploi, and FNE-Formation funding. Contact us to discuss your training project and funding possibilities.
Explore 2026 evolutions in prompt injection attacks through concrete computer vision cases, implement OpenCV to analyze suspicious visual streams, complete practical exercises on real datasets of hidden injections in images, build your first hybrid detectors combining OCR and deep learning, evaluate common weaknesses in vulnerable LLMs, produce an initial vulnerability report.
Dive into expert OCR to decode prompts injected into visual content, set up OpenCV pipelines to detect adversarial perturbations, test on real business scenarios like digitized document security, develop countermeasures using generative GANs, simulate 2026 attacks in practical workshops, optimize detection thresholds to minimize false positives, deliver a functional secure OCR module prototype.
Integrate detection into live video streams with OpenCV and RTSP, deploy on edge devices for industrial applications, analyze computer vision use cases like AI surveillance, code resilient algorithms against polymorphic 2026 injections, measure performance in latency and accuracy, collaborate in pairs on an internal hackathon challenge, produce a production-ready Dockerized deployment.
Audit and optimize your detectors using international OpenCV benchmarks, integrate robustness metrics against 2026 zero-day attacks, prepare for Qualiopi certification of professional skills, review best business practices in groups, finalize a capstone project on a real client case, receive personalized expert feedback, leave with a portfolio of deliverables and expert mastery certification.
Target audience
AI engineers, computer security experts, Computer Vision developers seeking advanced skills in prompt injection detection
Prerequisites
Mastery of OpenCV, advanced Python, deep machine learning, experience in computer vision and AI security
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