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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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Explore the evolving role of artificial intelligence in crafting tailored educational journeys, with projections for groundbreaking advancements by April 2026.
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The Training: Mastering IoT Data Analysis - Harness the Potential of Connected Devices 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: Mastering IoT Data Analysis - Harness the Potential of Connected Devices 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: Mastering IoT Data Analysis - Harness the Potential of Connected Devices 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 IoT and analytics, study of common IoT architectures, sensor flows, data normalization and storage, identification of challenges (volume, variety, velocity).
Collection techniques (protocols, brokers, tool selection), real-time stream management, data cleaning and enrichment, interactive visualization (Grafana, Power BI), first exploration of anomalies and trends.
Anomaly detection, classification and forecasting on IoT data (scikit-learn, Keras), integration into automated pipelines, real-time reporting, data security and governance, business scenarios (industry, health, smart city, etc.).
Target audience
Engineers, data analysts, IT project managers, embedded systems professionals wishing to exploit data from connected devices
Prerequisites
Basic knowledge in statistics and programming (Python recommended), notions on IoT and sensor networks
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