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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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Artificial Intelligence training in Cardiff in May 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Cybersecurity training in Sheffield in November 2026 with Learni. Certified, expert trainers, eligible for employer funding. Free quote.
Artificial Intelligence training in Raleigh in June 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.
Don't let this gap widen
Sans maîtrise de Google Cloud IoT, 70 % des incidents de sécurité sur les données connectées proviennent de configurations inadéquates, exposant les entreprises à des cyberattaques massives.
Chaque brèche coûte en moyenne 4 millions d'euros en pertes directes, plus 20 jours de downtime qui paralysent les opérations et font fuir les clients.
Les ingénieurs et architectes IoT risquent l'obsolescence professionnelle, tandis que l'entreprise perd 25 % de sa compétitivité sur les marchés scalables.
Chaque trimestre sans expertise en gestion et analyse des flux connectés amplifie ces vulnérabilités, menaçant la survie business à long terme.
The Devenir Expert en Google Cloud IoT : Gestion, Sécurité et Analyse des Données Connectées 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 Devenir Expert en Google Cloud IoT : Gestion, Sécurité et Analyse des Données Connectées 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 Devenir Expert en Google Cloud IoT : Gestion, Sécurité et Analyse des Données Connectées 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.
Présentation de Google Cloud Platform, IAM, stockage, sécurité. Découverte du service IoT Core : concepts, architecture, terminologie. Création d’un projet GCP et activation de l’API IoT Core. Démarche de connexion et d’enregistrement d’objets (registry, devices, clés).
Configuration avancée des objets : protocoles MQTT et HTTP. Gestion des identités, gestion des clés (RSA, ES256), cycles de vie et stratégies de sécurité. Rôles et autorisations. Routage, Pub/Sub, streaming de données. Détection d’incidents : pratiques et outils de surveillance.
Intégration des données IoT avec Dataflow, Data Fusion, BigQuery. Cas d’usages analytiques. Visualisation de données (Data Studio, Looker). Alerting, automatisation (Cloud Functions, workflows). Supervision et maintenance d’un parc d’objets à grande échelle. Optimisations, résilience et bonnes pratiques pour les architectures industrielles connectées.
Target audience
Ingénieurs informatiques, architectes cloud, responsables IoT, développeurs souhaitant déployer des solutions IoT à grande échelle avec Google Cloud
Prerequisites
Bonnes connaissances du Cloud Computing et des bases IoT (protocoles, capteurs, réseaux). Expérience avec Google Cloud Platform recommandée.
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