6G and IoT Training Course

The objective of this training is to elucidate the nature of 5G networks and their influence on smart technologies. We aim to demonstrate the pros and cons of the relationship between these technologies (5G and IoT) and outline the development trajectory of a network designed from its inception for the smart world.

This 21-hour training in Malaysia empowers IT architects to design next-generation distributed systems. Discover the integration of 6G, edge computing, and AI to build low-latency, scalable infrastructures. Acquire practical skills to create secure, resilient, and intelligent edge architectures that address future business needs.

This live, instructor-led training in Malaysia equips intermediate telecom engineers to transition 4G/5G infrastructure toward 6G. It explores AI operations, edge computing, and cloud-native RAN through design workshops and hands-on labs, fostering the development of practical migration strategies.

Designed for senior leadership, this live training session (delivered online or on-site) offers a comprehensive look at the global 6G landscape, helping participants gauge its business potential and plan proactive strategic investments.

By the conclusion of the course, attendees will possess the strategic clarity required to:

• Identify key market trends and global initiatives that are shaping the 6G ecosystem.
• Navigate regulatory requirements and spectrum allocation timelines tied to IMT-2030.
• Assess the evolving vendor market and the current state of technology readiness.
• Create a strategic roadmap for early-stage investment, research collaborations, and pilot deployments.

This advanced, instructor-led course in Malaysia examines how digital twin technology and artificial intelligence collaborate to model and manage next-generation 6G infrastructure. Learners will develop twin models, apply AI for closed-loop optimization, and integrate real-time telemetry to achieve intent-based network control.

This instructor-led, live training in Malaysia (online or onsite) targets intermediate-level IT professionals and business managers who wish 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:

• 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 instructor-led, live training in Malaysia (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals looking to utilise Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

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

• Grasp 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 Malaysia (online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning to optimise 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.

Discover the technical and strategic underpinnings of 6G in this accessible course. Delivered in Malaysia, it examines key technologies, spectrum policies, and high-value use cases. Understand how 6G evolves beyond 5G and develop a readiness roadmap to guide informed decision-making for your organization.

This instructor-led, live training in Malaysia (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 conducted in Malaysia, participants will learn to maximise Nginx's performance by setting up, configuring, monitoring, and troubleshooting it for handling various forms of HTTP and TCP traffic. The curriculum covers configuring critical Nginx parameters, alongside optimising the operating system and virtual machine environments to extract maximum value from Nginx.

This instructor-led, live training in Malaysia (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.