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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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30 free minutes with a training advisor — no commitment.
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Professional Training training in Memphis in October 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Master influence and persuasion skills for 2026 with proven strategies, emerging tech, and practical exercises tailored for professional growth in a dynamic world.
Professional Training training in Dallas in July 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Mesa in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise du Raspberry Pi 2026, vos projets IoT cumulent 40% de downtimes imprévus, coûtant 200k€ annuels en pertes de production aux PME industrielles.
Les failles de sécurité non optimisées génèrent 65% des breaches IoT, avec un impact moyen de 500k€ par incident selon Gartner 2025.
Les équipes à la traîne perdent 30% d'opportunités marché face aux concurrents agiles en edge computing.
En 2026, 82% des solutions industrielles exigeront ces compétences avancées, risquant licenciements et obsolescence pour les profils non formés.
Agissez maintenant pour sécuriser votre avance compétitive.
The Formation Raspberry Pi 2026 - Déployer IoT scalables en entreprise 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 Formation Raspberry Pi 2026 - Déployer IoT scalables en entreprise 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 Formation Raspberry Pi 2026 - Déployer IoT scalables en entreprise 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.
Démarrage par l'installation d'un Raspberry Pi OS optimisé sur plusieurs boards Pi 2026, configuration avancée des périphériques GPIO étendus et interfaces PCIe pour capteurs industriels, exercices pratiques d'overclocking sécurisé avec monitoring thermique en temps réel, mise en place d'un cluster Kubernetes lightweight pour simulations d'entreprise, développement de scripts Python pour automatiser les boots et tests hardware, production d'un prototype connecté avec diagnostics complets et rapport de performance pour validation professionnelle.
Intégration de conteneurs Docker sur Raspberry Pi 2026 pour microservices IoT résilients, implémentation de modèles IA avec TensorFlow Lite pour détection en temps réel sur capteurs vidéo, configuration de protocoles MQTT et WebSocket pour communications scalables, exercices sur cas concrets d'usine intelligente avec simulation de 100 nœuds, optimisation de la consommation énergétique et sécurité zero-trust, déploiement final vers AWS IoT ou Azure Edge avec CI/CD automatisé, livraison d'un livrable clé en main : dashboard monitoring et code source documenté pour réplication en entreprise.
Target audience
Ingénieurs IoT, développeurs embarqués, responsables R&D souhaitant monter en compétences sur Raspberry Pi 2026
Prerequisites
Maîtrise de Linux, Python/C++, électronique GPIO et réseaux TCP/IP
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