Internet of Things (IoT) Training in Vietnam

This instructor-led, live training in Vietnam (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 Vietnam (available online or onsite) is designed for intermediate-level professionals who aim to apply Federated Learning to optimize IoT and edge computing solutions.

By the end of this training, participants will be able to:

• Gain a solid understanding of the principles and advantages of Federated Learning in IoT and edge computing contexts.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities within edge computing environments.
• Tackle challenges associated with data privacy and network limitations in IoT systems.

This instructor-led live training, located in Vietnam (offered online or onsite), is designed for intermediate-level developers, system architects, and industry professionals seeking to leverage Edge AI to augment IoT applications with sophisticated data processing and analytical capabilities.

By the conclusion of this training, participants will be able to:

• Comprehend the core principles of Edge AI and its integration into IoT systems.
• Prepare and configure Edge AI environments suitable for IoT device operation.
• Create and install AI models on edge devices to support IoT applications.
• Deploy real-time data processing mechanisms and decision-making algorithms in IoT systems.
• Connect Edge AI solutions with various IoT protocols and platform ecosystems.
• Address ethical concerns and adopt best practices for Edge AI deployment in IoT.

This instructor-led, live training in Vietnam (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 Vietnam (online or onsite) is designed for intermediate-level IT professionals and business managers who want to understand how IoT and edge computing can drive efficiency, real-time processing, and innovation across various industries.

By the conclusion of this training, participants will be able to:

• Comprehend the foundational concepts of IoT and edge computing and their role in digital transformation.
• Identify specific use cases for IoT and edge computing in manufacturing, logistics, and energy.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Apply edge computing solutions for predictive maintenance and real-time decision-making.

This training aims to clarify what the 5G network entails and its influence on smart technologies. It will illustrate both the advantages and disadvantages of the interplay between these technologies (5G/IoT) while highlighting the developmental trajectory of a network designed from the outset for the smart world.

In this instructor-led live training in Vietnam, participants will learn how to maximize Nginx's performance by setting up, configuring, monitoring, and troubleshooting it for handling various forms of HTTP/TCP traffic. Topics covered include configuring key Nginx parameters, the operating system, and virtual machine settings to gain maximum value from Nginx.