6G and IoT Training Course

The objective of this training is to clarify the nature of 5G networks and their impact on smart technologies. We aim to demonstrate both the advantages and disadvantages of the relationship between these technologies (5G and IoT), while highlighting the developmental trajectory of a network designed from the outset for the smart world.

This 21-hour training in Taiwan empowers IT architects to design next-generation distributed systems. It explores the integration of 6G, edge computing, and AI to create low-latency, scalable infrastructures. Participants will acquire practical skills to build secure, resilient, and intelligent edge architectures that meet evolving business demands.

This instructor-led, live training in Taiwan empowers intermediate telecom engineers to transition 4G/5G infrastructure toward 6G. It explores cloud-native RAN, edge compute, and AI-driven operations through hands-on labs and design workshops, facilitating practical migration strategies.

Designed for senior leadership, this live instructor-led training—available online or on-site—helps executives navigate the global 6G landscape, evaluate its commercial potential, and formulate early strategic investment plans.

Upon completion, participants will possess the strategic insights required to:

• Recognize emerging market trends and international initiatives defining the 6G ecosystem.
• Grasp the regulatory and spectrum allocation schedules associated with IMT-2030.
• Assess the shifting vendor environment and current technology readiness.
• Create a strategic roadmap for early investments, research alliances, and pilot projects.

This advanced, instructor-led course in Taiwan delves into how digital twin technology and AI merge to model and manage next-generation 6G infrastructure. Participants will construct twin models, leverage AI for closed-loop optimization, and integrate real-time telemetry to achieve intent-based network control.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level IT professionals and business managers who aim to understand the potential of IoT and edge computing for driving efficiency, real-time processing, and innovation across various industries.

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

• Grasp the foundational concepts of IoT and edge computing and their significance in digital transformation.
• Identify practical use cases for IoT and edge computing in manufacturing, logistics, and energy.
• Differentiate between edge and cloud computing architectures and their deployment contexts.
• Implement edge computing solutions for predictive maintenance and real-time decision-making.

This instructor-led, live training in Taiwan (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:

• Grasp the fundamentals of Edge AI and its application in IoT.
• Establish and configure Edge AI environments for IoT devices.
• Create 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 Taiwan (online or onsite) targets intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.

Upon completing this training, participants will be able to:

• Grasp the core principles and advantages of applying Federated Learning in IoT and edge contexts.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making within edge computing environments.
• Tackle challenges concerning data privacy and network limitations in IoT systems.

Gain a beginner-friendly insight into the technical and strategic foundations of 6G in this course. Delivered in Taiwan, it explores critical technologies, spectrum policies, and high-value applications. Discover how 6G diverges from 5G and learn to draft a readiness roadmap that supports informed decision-making for your organization.

This instructor-led, live training in Taiwan (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.

In this instructor-led, live training held in Taiwan, participants will learn how to maximize Nginx's performance by setting up, configuring, monitoring, and troubleshooting it to manage various forms of HTTP and TCP traffic. Key topics include configuring critical Nginx parameters, as well as optimizing the operating system and virtual machine settings to derive the maximum value from Nginx.

This instructor-led, live training in Taiwan (online or onsite) is designed for intermediate-level IoT developers, embedded engineers, and AI practitioners who want 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 fundamentals of TinyML and its applications in IoT.
• Configure a TinyML development environment for IoT projects.
• Create 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.