Internet of Things (IoT) Training in Sweden

This instructor-led, live training in Sweden (online or onsite) is designed for advanced IoT developers and smart home enthusiasts who want to automate IoT processes and create innovative solutions using n8n.

Upon completion of this training, participants will be able to:

• Install and configure n8n for IoT workflow automation.
• Connect IoT devices and platforms using n8n nodes and connectors.
• Develop custom workflows to automate IoT tasks and processes.
• Utilize IoT protocols such as MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimize IoT automation workflows.

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level professionals seeking 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.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making within edge computing environments.
• Navigate challenges associated with data privacy and network limitations in IoT systems.

This instructor-led, live training in Sweden (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 Sweden (online or onsite) targets 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:

• Grasp the core principles of TinyML and its role in IoT ecosystems.
• Establish a TinyML development environment tailored for IoT projects.
• Create and deploy ML models on low-power microcontrollers.
• Apply TinyML to achieve predictive maintenance and anomaly detection.
• Optimize TinyML models to ensure efficient power and memory utilization.

This instructor-led live training in Sweden (online or onsite) is designed for intermediate IT professionals and business managers seeking 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:

• Comprehend 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 training aims to clarify what 5G networks are and how they influence smart technologies. We will explore both the benefits and limitations of the synergy between 5G and IoT, while outlining the developmental trajectory of a network designed from the outset for the smart world.

In this instructor-led, live training in Sweden, participants will learn how to optimize Nginx's performance while setting up, configuring, monitoring, and troubleshooting it to handle various types of HTTP and TCP traffic. The curriculum covers configuring essential Nginx parameters, as well as the operating system and virtual machine environments, to fully leverage the capabilities of Nginx.