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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 Training LoRaWAN - Mastering Long-Range 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 Training LoRaWAN - Mastering Long-Range 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 Training LoRaWAN - Mastering Long-Range 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.
Introduction to LoRaWAN principles: LoRa modulation, frequency bands. Installation of a LoRaWAN simulation environment. Configuration of a first node and gateway. Understanding classes A, B, C. Security key management. Practical exercises on concrete industrial IoT cases. Setting up the red thread project: pilot network deployment. Range and energy consumption tests. Integration with network servers like The Things Network. LoRaWAN packet analysis. Basic optimization for businesses. Demonstration of smart city and connected agriculture applications. Intermediate multiple-choice quiz. Red thread project defense at the end of the day.
Target audience
IoT engineers, embedded developers, industrial maintenance technicians seeking LoRaWAN initiation for skill enhancement
Prerequisites
Basic knowledge of IP networks, electronics, and Python or C programming
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