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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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Cybersecurity training in Oklahoma City in December 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
No-Code / Low-Code training in Leeds in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Professional Training training in New York in September 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Don't let this gap widen
Sans maîtrise de l'IoT Analytics, 70 % des données issues des objets connectés restent inexploitées, générant des pertes invisibles pour votre entreprise.
Chaque incident lié à une analyse défaillante coûte en moyenne 85 000 €, avec 40 % des pannes IoT directement attribuables à ce manque de compétences.
Vos projets techniques s'enlisent, exposant votre organisation à une perte de 25 % de performance opérationnelle et menaçant votre position concurrentielle.
Chaque mois sans expertise avancée, le risque de retard stratégique s'accroît, compromettant votre carrière et l'innovation de l'entreprise.
The Maîtriser l’IoT Analytics : Exploitez vos données d’objets connectés pour booster la performance 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 Maîtriser l’IoT Analytics : Exploitez vos données d’objets connectés pour booster la performance 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 Maîtriser l’IoT Analytics : Exploitez vos données d’objets connectés pour booster la performance 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.
Panorama de l’IoT et de ses cas d’usages analytiques, capteurs & protocoles, architecture de collecte des données, premières manipulations d’un jeu de données capteurs, introduction aux plateformes IoT (AWS IoT, Azure IoT Hub, Google Cloud IoT Core)
Techniques de traitement des flux massifs (data pipelines, Edge vs Cloud computing), nettoyage et transformation des données, stockage temps réel (bases de données time-series), premières analyses statistiques et exploration de données, outils open source pour l’analyse IoT (InfluxDB, Grafana, Node-RED)
Machine Learning sur données IoT : modèles pour séries temporelles, prédiction, clustering, détection d’anomalies (ex. maintenance prédictive), sécurité des données IoT, dashboards et visualisations adaptées, étude de cas complète (de la source à la décision), bonnes pratiques de déploiement en production
Target audience
Professionnels de l’informatique, data analysts, ingénieurs réseaux, chefs de projet technique, responsables innovation
Prerequisites
Maîtrise des fondamentaux de l’IoT, compréhension de base en data science et statistiques, connaissance de Python recommandée
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