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 LoRaWAN Avancé - Déployez des réseaux IoT fiables training are: Maîtrise des bases LoRaWAN, Linux, Python, réseaux IP et sans fil.. A preliminary interview validates your eligibility.

Is the training available in person?

Yes, the Formation LoRaWAN Avancé - Déployez des réseaux IoT fiables training is available in distanciel. The format can be adapted to your needs (inter, intra, custom).

Formation LoRaWAN Avancé - Déployez des réseaux ... | 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 LoRaWAN Avancé - Déployez des réseaux IoT fiables 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 LoRaWAN Avancé - Déployez des réseaux IoT fiables 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 LoRaWAN Avancé - Déployez des réseaux IoT fiables 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

Configurer des gateways et nœuds LoRaWAN avancés avec ChirpStack.

Optimiser la couverture réseau et la gestion énergétique.

Implémenter des protocoles de sécurité end-to-end.

Intégrer LoRaWAN avec des plateformes cloud comme AWS IoT.

Analyser et dépanner des performances en production.

Déployer des réseaux scalables pour applications industrielles.

Training program

Module 1Architecture avancée LoRaWAN : protocoles et modulation (ChirpStack, Semtech)

Plongez dans les couches PHY et MAC avancées, configurez des stacks LoRaWAN sur Raspberry Pi, simulez des scénarios de propagation avec outils Semtech, réalisez des exercices pratiques sur modulation CSS, générez vos premiers paquets chiffrés, testez l'interopérabilité entre nœuds et gateways pour une base solide et opérationnelle.

Module 2Déploiement gateways et nœuds : outils The Things Network, Dragino

Installez et paramétrez des gateways Dragino en mode ACDB, déployez des nœuds sensoriels sur Arduino, intégrez MQTT pour upstream data, effectuez des tests de charge avec 50+ nœuds simulés, produisez des dashboards Grafana pour monitoring temps réel, vivez un déploiement concret qui booste votre expertise terrain.

Module 3Optimisation et sécurité LoRaWAN : ADR, cryptographie AES-128

Maîtrisez l'Adaptive Data Rate pour minimiser la conso batterie, implémentez la sécurité avec clés de session et CMAC, optimisez la planification SF via simulations NS-3, analysez les vulnérabilités jamming, créez des politiques FUOTA pour mises à jour OTA, transformez vos réseaux en forteresses performantes et éco-efficaces.

Module 4Intégration et troubleshooting : cloud AWS IoT, cas industriels

Connectez LoRaWAN à AWS IoT Core via bridges, développez des pipelines data avec Node-RED, diagnostiquez pannes via logs Wireshark, résolvez cas réels d'usines intelligentes, produisez un projet final livrable avec rapport d'analyse, repartez avec un portfolio concret prêt pour vos challenges IoT professionnels.