6G and IoT Training Course

The aim of this training is to explain what the 5G network is and the impact it has on smart technologies. We will explore both the advantages and disadvantages of these technological relationships (5G / IoT) and outline the network's development direction—since its inception, it has been designed specifically for the smart world.

This 21-hour training in New Zealand guides IT architects in designing next-gen distributed systems. Explore 6G, edge computing, and AI integration for low-latency, scalable infrastructures. Gain practical skills for secure, resilient, and intelligent edge architectures to meet future business demands.

This instructor-led, live training in New Zealand empowers intermediate telecom engineers to evolve 4G/5G infrastructure for 6G. It covers cloud-native RAN, edge compute, and AI operations through hands-on labs and design workshops, enabling practical migration strategies.

This instructor-led, live training program (available online or onsite) is designed for executive-level participants seeking to grasp the global 6G landscape, evaluate its commercial potential, and prepare for strategic early-stage investments.

Upon completing this course, participants will possess the insights necessary to:

• Recognise emerging market trends and international initiatives shaping the 6G ecosystem.
• Comprehend the regulatory and spectrum allocation timelines associated with IMT-2030.
• Assess the shifting vendor landscape and current technology maturity levels.
• Create a strategic roadmap for initial investments, research alliances, and pilot programmes.

This advanced, instructor-led programme in New Zealand examines the synergy between digital twin technology and AI for modelling and operating next-generation 6G infrastructure. Participants will develop twin models, apply AI for closed-loop optimisation, and integrate real-time telemetry to achieve intent-based network control.

This instructor-led, live training in New Zealand (delivered online or on-site) is designed for intermediate-level IT professionals and business managers seeking to understand the potential of IoT and edge computing to drive efficiency, enable real-time processing, and foster 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 within the 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 New Zealand (available online or on-site) is designed for intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI to enhance 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 New Zealand (available online or on-site) is designed for intermediate-level professionals seeking to apply Federated Learning to optimise IoT and edge computing solutions.

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

• Understand the core principles and benefits of Federated Learning in IoT and edge computing contexts.
• Implement Federated Learning models on IoT devices to enable decentralised AI processing.
• Reduce latency and enhance real-time decision-making in edge computing environments.
• Tackle challenges related to data privacy and network constraints in IoT systems.

Discover the technical and strategic essentials of 6G in this accessible course. Delivered in New Zealand, it explores critical technologies, spectrum policies, and high-value use cases. Understand the distinctions between 6G and 5G and develop a readiness roadmap to support informed decision-making within your organisation.

This instructor-led, live training in New Zealand (online or onsite) is designed for advanced-level IoT developers and smart home enthusiasts who want 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 such as MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimise IoT automation workflows.

In this instructor-led, live training in New Zealand, participants will learn how to maximise Nginx performance while setting up, configuring, monitoring, and troubleshooting the system to handle various forms of HTTP and TCP traffic. Key topics include configuring the most critical parameters in Nginx, the operating system, and virtual machines to extract maximum value from the platform.

This instructor-led, live training in New Zealand (online or on-site) is designed for 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.
• Optimise TinyML models for efficient power and memory usage.