Online or onsite, instructor-led live Internet of Things (IoT) training courses cover the fundamentals of IoT and demonstrate how to implement different types of IoT systems and solutions aimed at different target industries. Courses are available as either technical trainings for developers and engineers or as business-oriented workshops for managers and entrepreneurs. In both cases, the coverage is interative and practical with hands-on activities and exercises designed to enhance understanding, participation and value.
IoT training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Berlin onsite live Internet of Things (IoT) trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Our training facilities are located at Brückenstr. 4 in Berlin. Located on the fourth floor of a well-kept office building, our premises offer enough space for successful training courses in the heart of Berlin, within walking distance of the Jannowitzbrücke station.
Directions
The NobleProg training facilities are located in the heart of Berlin's Mitte district, just one underground station from Alexanderplatz, one of the centres of this vibrant city. By public transport you can reach us either by underground line U8 to Jannowitzbrücke station, followed by about 100 meters on foot.
Parking
Cars can be parked in the area along Brückenstr. and the nearby side streets, even if you may have to search for a moment. There is no charge for parking.
Local Amenities
Around the Rosenthaler Platz there are numerous small restaurants and shops where you can eat well and cheaply. There are also some hotels close by if you need accommodation for the training.
Our training facilities are located at Dianastrasse 46 in Potsdam-Babelsberg.
Our spacious training rooms are located directly opposite the Filmstudios Babelsberg and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the Medienstadt Babelsberg railway station,
and the A115 motorway is also easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
Potsdam offers numerous hotels and restaurants and is easily accessible thanks to its well-developed public transport system.
This instructor-led, live training in Berlin (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 instructor-led, live training in Berlin explores the convergence of 6G and IoT. Learners examine core 6G concepts, terahertz communication, and AI-native functions. The course focuses on how these technologies reshape IoT architecture, sensing, and industry-specific applications.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.
By the end of this training, participants will be able to:
Understand the principles and benefits of Federated Learning in IoT and edge computing.
Implement Federated Learning models on IoT devices for decentralized AI processing.
Reduce latency and improve real-time decision-making in edge computing environments.
Address challenges related to data privacy and network constraints in IoT systems.
This instructor-led, live training in Berlin (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 Berlin (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.
By the end of this training, participants will be able to:
Understand the fundamentals of TinyML and its applications in IoT.
Set up a TinyML development environment for IoT projects.
Develop and deploy ML models on low-power microcontrollers.
Implement predictive maintenance and anomaly detection using TinyML.
Optimize TinyML models for efficient power and memory usage.
This instructor-led, live training in Berlin (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in various industries.
By the end of this training, participants will be able to:
Understand the principles of IoT and edge computing and their role in digital transformation.
Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
Differentiate between edge and cloud computing architectures and deployment scenarios.
Implement edge computing solutions for predictive maintenance and real-time decision-making.
This beginner-friendly instructor-led live training in Berlin covers the fundamentals of embedded systems and IoT. Participants will learn C programming, microcontroller architectures, and how to configure hardware peripherals. The course provides hands-on exercises to build practical skills.
The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.
Delve deeper into the innovative realm of edge computing with this advanced course. Explore sophisticated architectures and tackle integration challenges, preparing to leverage the full potential of edge computing in a variety of business environments. Gain expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs.
Explore Big Data BI for government agencies in Berlin. This course covers Hadoop, NoSQL, predictive analytics, and real-time tools to manage vast, diverse data streams. Learn fraud detection, cybersecurity, and ROI strategies to transform unstructured data into strategic assets for mission success.
Combine the transformative power of AI with the agility of edge computing in this comprehensive course. Learn to deploy AI models directly on edge devices, from understanding CNN architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills to optimize AI performance for real-time processing and decision-making at the edge.
Build a strong foundation in designing and managing a resilient edge computing infrastructure. Learn about open hybrid cloud infrastructures, managing workloads across diverse clouds, and ensuring flexibility and redundancy. This training provides essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.
In this instructor-led, live training in Berlin, participants will learn how to maximize the performance of Nginx as they set up, configure, monitor and troubleshoot Nginx for handling various forms of HTTP / TCP traffic. Topics covered include how to configure the most important parameters in Nginx, the OS and a virtual machine to gain maximum value out of 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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