Internet of Things (IoT) Training in Thailand

This live, instructor-led training is delivered Thailand (either online or on-site) and targets advanced IoT developers and smart home enthusiasts seeking to enhance IoT process automation and build innovative solutions using n8n.

By the end of this program, participants will be equipped to:

• Set up and configure n8n for dedicated IoT workflow automation.
• Integrate IoT devices and platforms using n8n's specialized nodes and connectors.
• Create custom workflows that automate specific IoT tasks and processes.
• Utilize IoT protocols like MQTT and REST APIs within n8n workflow structures.
• Monitor, troubleshoot, and optimize the performance of IoT automation workflows.

Delivered by an instructor in Thailand (either online or onsite), this live training is designed for intermediate-level professionals looking to leverage Federated Learning to enhance their IoT and edge computing solutions.

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

• Comprehend the foundational principles and benefits of Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices for decentralized AI operations.
• Decrease latency and strengthen real-time decision-making in edge environments.
• Address data privacy and network constraint challenges inherent to IoT systems.

Delivered as an instructor-led, live training in Thailand (either online or on-site), this course is designed for intermediate-level developers, system architects, and industry professionals aiming to empower their IoT applications with intelligent data processing and analytics through Edge AI.

By the conclusion of this training, participants will have acquired the ability to:

• Comprehend the fundamentals of Edge AI and its role 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 live, instructor-led training in Thailand (delivered online or onsite) is tailored for intermediate-level IoT developers, embedded engineers, and AI practitioners aiming to deploy TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

By the end of this program, participants will be capable of:

• Comprehending the fundamentals of TinyML and its IoT applications.
• Configuring a TinyML development environment for IoT projects.
• Building and deploying ML models on low-power microcontrollers.
• Executing predictive maintenance and anomaly detection using TinyML.
• Refining TinyML models for optimal power and memory performance.

Tailored for intermediate-level IT professionals and business managers, this instructor-led live training in Thailand (online or onsite) focuses on understanding how IoT and edge computing can enhance efficiency, enable real-time processing, and drive innovation across diverse industries.

By the conclusion of this training, participants will possess the ability to:

• Grasp the fundamental principles of IoT and edge computing and their contribution to digital transformation.
• Identify relevant use cases for IoT and edge computing in the manufacturing, logistics, and energy industries.
• Differentiate between edge and cloud computing architectures and suitable deployment scenarios.
• Implement edge computing strategies to support predictive maintenance and real-time decision-making.

This training aims to elucidate the nature of 5G networks and their influence on smart technologies. We will present a balanced view of the 5G and IoT relationship, covering both benefits and drawbacks, while highlighting the network's development path, which was originally designed with the smart world in mind.

During this instructor-led live training held in Thailand, participants will learn to maximize Nginx performance by setting up, configuring, monitoring, and troubleshooting the server for various HTTP and TCP traffic types. The curriculum covers the configuration of essential parameters in Nginx, the operating system, and virtual machines to ensure optimal utilization of Nginx's capabilities.