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 Formation Deep linking - Intégrer robots et PLC avancés training are: Maîtrise des PLC programmables, ROS pour robotique, protocoles industriels comme OPC UA et MQTT. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation Deep linking - Intégrer robots et PLC avancés training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation Deep linking - Intégrer robots et PLC… | 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 Formation Deep linking - Intégrer robots et PLC avancés 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 Formation Deep linking - Intégrer robots et PLC avancés 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 Formation Deep linking - Intégrer robots et PLC avancés 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

Maîtriser les deep linking avancés pour lier interfaces HMI et automates PLC en entreprise

Développer des compétences professionnelles en deep linking robotique pour Industrie 4.0

Concevoir des URIs profonds sécurisés intégrant robots collaboratifs et systèmes cyber-physiques

Implémenter des flux deep linking optimisés pour la supervision temps réel en production

Optimiser les deep linking dans les écosystèmes robotiques certifiants Qualiopi

Déployer des solutions deep linking scalables pour chaînes de montage automatisées

Training program

Module 1Deep linking robotique : URIs avancés et protocoles PLC (ROS, OPC UA)

Plongez dans les URIs profonds pour robots, configurez des liens directs vers commandes PLC via ROS et OPC UA, réalisez des exercices pratiques sur simulations industrielles, testez l'intégration HMI-robots en temps réel, produisez des schémas de flux deep linking fonctionnels, analysez des cas concrets d'usines 4.0 pour valider la robustesse.

Module 2Deep linking sécurisé : Authentification et chiffrement en Industrie 4.0 (MQTT, TLS)

Implémentez des deep linking chiffrés avec TLS et MQTT pour automates, simulez des attaques sur liens profonds robotiques, déployez des tokens JWT avancés pour accès PLC, exercez sur scénarios de supervision décentralisée, générez des rapports de sécurité conformes normes ISO, optimisez les performances pour environnements critiques haute disponibilité.

Module 3Deep linking scalable : Orchestration multi-robots et MES (Kubernetes, Docker)

Orchestrez des deep linking multi-robots via Kubernetes et Docker pour MES, développez des APIs profondes liant PLC à flottes cobots, pratiquez des déploiements conteneurisés en cluster, analysez des métriques de latence temps réel, créez des dashboards interactifs pour monitoring Industrie 4.0, validez l'évolutivité sur cas d'étude production automobile.

Module 4Deep linking expert : Optimisation et certification (tests load, Qualiopi)

Optimisez les deep linking sous charge extrême avec tests load avancés, intégrez des feedbacks IA pour auto-correction liens PLC-robots, préparez la certification Qualiopi via audits pratiques, déployez en prod simulée avec rollback automatique, produisez un portfolio de livrables experts, évaluez l'impact ROI sur productivité industrielle.