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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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The Advanced LoRaWAN Training - Deploy Reliable IoT Networks 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 Advanced LoRaWAN Training - Deploy Reliable IoT Networks 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 Advanced LoRaWAN Training - Deploy Reliable IoT Networks training is carried out through:
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.
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.
Dive into advanced PHY and MAC layers, configure LoRaWAN stacks on Raspberry Pi, simulate propagation scenarios with Semtech tools, perform practical exercises on CSS modulation, generate your first encrypted packets, test interoperability between nodes and gateways for a solid and operational foundation.
Install and configure Dragino gateways in ACDB mode, deploy sensor nodes on Arduino, integrate MQTT for upstream data, conduct load tests with 50+ simulated nodes, create Grafana dashboards for real-time monitoring, experience a concrete deployment that boosts your field expertise.
Master Adaptive Data Rate to minimize battery consumption, implement security with session keys and CMAC, optimize SF scheduling via NS-3 simulations, analyze jamming vulnerabilities, create FUOTA policies for OTA updates, transform your networks into performant and eco-efficient fortresses.
Connect LoRaWAN to AWS IoT Core via bridges, develop data pipelines with Node-RED, diagnose failures via Wireshark logs, resolve real smart factory cases, produce a final deliverable project with analysis report, leave with a concrete portfolio ready for your professional IoT challenges.
Target audience
IoT engineers, embedded developers, systems integrators advancing their LoRaWAN skills.
Prerequisites
Mastery of LoRaWAN basics, Linux, Python, IP networks, and wireless networks.
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