Delivered either online or on-site, these instructor-led live Internet of Things (IoT) training programs explore the core principles of IoT while showcasing the implementation of diverse systems and solutions tailored to specific industries. We offer both technical curricula for developers and engineers and business-focused workshops for managers and entrepreneurs. In all scenarios, the approach remains interactive and practical, featuring hands-on activities and exercises specifically designed to deepen understanding, boost participation, and maximize value.
Our IoT training is available as either "online live training" or "on-site live training." Online live training (also known as "remote live training") utilizes an interactive remote desktop session. On-site live training takes place locally at customer premises in Prague or at 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 (online or onsite) is aimed at advanced-level IoT developers and smart home enthusiasts who wish to automate IoT processes and create innovative solutions using n8n.
By the end of this training, participants will be able to:
Set up and configure n8n for IoT workflow automation.
Integrate IoT devices and platforms using n8n nodes and connectors.
Implement custom workflows to automate IoT tasks and processes.
Use IoT protocols like MQTT and REST APIs within n8n workflows.
Monitor, troubleshoot, and optimize IoT automation workflows.
This live, instructor-led session in Prague delves into the synergy between 6G and IoT. Participants will explore key 6G concepts, including terahertz communication and AI-native functions. The course emphasizes how these advancements are redefining IoT architecture, sensing mechanisms, and sector-specific applications.
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 in Prague (online or onsite) targets intermediate-level IoT developers, embedded engineers, and AI practitioners aiming to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.
Upon completion of this training, participants will be able to:
Grasp the core concepts of TinyML and its role in IoT.
Establish a TinyML development environment for IoT initiatives.
Create and deploy machine learning models on low-power microcontrollers.
Apply TinyML for predictive maintenance and anomaly detection.
Optimize TinyML models to maximize power efficiency and minimize memory usage.
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.
This accessible, instructor-led live training in Prague focuses on the core principles of embedded systems and IoT. Participants will acquire skills in C programming, microcontroller architecture, and hardware peripheral configuration. The course features practical, hands-on exercises to develop tangible technical capabilities.
This training aims to clarify what a 5G network is and its influence on smart technologies. We will highlight both the advantages and limitations of the relationship between 5G and IoT, while exploring the development paths of a network designed from the outset for the smart world.
Explore Big Data BI for government agencies in Prague. This course covers Hadoop, NoSQL, predictive analytics, and real-time tools for managing vast, diverse data streams. Learn fraud detection, cybersecurity, and ROI strategies to transform unstructured data into strategic assets for mission success.
In this instructor-led live training in Prague, participants will learn how to maximize the performance of Nginx while setting it up, configuring it, monitoring it, and troubleshooting it to handle various forms of HTTP and TCP traffic. Covered topics include how to configure the most important parameters in Nginx, the operating system, and a virtual machine to gain maximum value from Nginx.
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Testimonials (1)
The ability of the trainer to align the course with the requirements of the organization other than just providing the course for the sake of delivering it.
Masilonyane - Revenue Services Lesotho
Course - Big Data Business Intelligence for Govt. Agencies
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