Whether delivered online or onsite, our instructor-led Edge Computing courses provide an immersive, hands-on experience. They demonstrate how to leverage Edge Computing to decentralize data management, enhancing performance by utilizing smart devices located directly on the source network.
This Edge Computing training is offered as either "online live training" or "onsite live training". Online live training, also referred to as "remote live training", is conducted via an interactive remote desktop. Onsite live training can take place at customer premises in Prague or within NobleProg’s corporate training centers in Prague.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led, live training in Prague (available online or onsite) is designed for intermediate-level professionals aiming to apply Federated Learning to optimize IoT and edge computing solutions.
Upon completion of this training, participants will be able to:
Grasp the fundamental principles and advantages of Federated Learning in IoT and edge computing contexts.
Deploy Federated Learning models on IoT devices to facilitate decentralized AI processing.
Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
Overcome challenges associated with data privacy and network constraints in IoT systems.
This instructor-led, live training in Prague (online or onsite) is aimed at intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.
By the end of this training, participants will be able to:
Understand the fundamentals of Edge AI and its application in IoT.
Set up and configure Edge AI environments for IoT devices.
Develop and deploy AI models on edge devices for IoT applications.
Implement real-time data processing and decision-making in IoT systems.
Integrate Edge AI with various IoT protocols and platforms.
Address ethical considerations and best practices in Edge AI for IoT.
This instructor-led, live training session in Prague (online or onsite) targets intermediate-level IT professionals and business managers who wish to understand how IoT and edge computing can drive efficiency, real-time processing, and innovation across various industries.
By the end of this training, participants will be able to:
Understand the fundamental principles of IoT and edge computing and their role in digital transformation.
Identify relevant use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
Differentiate between edge and cloud computing architectures and their deployment contexts.
Implement edge computing solutions for predictive maintenance and real-time decision-making.
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