Getting Started with IoT (Internet of Things) and Augmented Reality 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.

Augmented Reality (AR) is a technology that enhances the user experience by blending virtual, computer-generated elements with the physical, real-world environment. The adoption of AR has been growing across various industries.

In this instructor-led, live training, participants will learn how to build Augmented Reality Android applications tailored for diverse business and industry use cases.

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

• Understand the fundamentals of AR
• Install and configure essential frameworks and tools for building AR applications, such as Vuforia and Unity
• Build an AR Android application that overlays computer-generated data onto live real-world data
• Troubleshoot, test, and deploy an Augmented Reality Android application

Audience

• Developers
• Engineers

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

• To request a customised training for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (available online or on-site) is designed for developers who wish to use ARCore to build and enhance augmented reality applications, seamlessly integrating virtual content into the real world.

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

• Set up the necessary development environment to begin developing ARCore applications.
• Understand UX design guidelines to create realistic virtual experiences for mobile applications.
• Run immersive simulations to test the performance of AR applications.
• Enhance existing mobile applications by optimising ARCore features.

This instructor-led, live training (online or on-site) is designed for beginner to intermediate-level developers who wish to build a mobile AR application using ARToolKit and its latest capabilities for mobile, natural feature tracking, calibration, and integration with external sensors.

This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level geometry professionals, architects, and engineers who wish to use Construct3D to enhance their spatial reasoning, design complex structures, and apply geometric concepts to real-world scenarios.

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

• Master advanced geometric constructions and their applications.
• Develop proficiency in spatial reasoning and 3D visualisation.
• Design and manipulate complex geometric shapes in augmented reality.
• Integrate augmented reality with geometric design in professional practice.

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 (online or on-site) is designed for product managers and developers who wish to leverage Edge Computing to decentralise data management, achieving faster performance by utilising smart devices located at the source network.

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

• Understand the core concepts and advantages of Edge Computing.
• Identify practical use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions that enable faster data processing and reduce operational costs.

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.

Google ARCore is Google's platform for building Augmented Reality (AR) experiences that blend digital objects into the real world through mobile devices. This course introduces ARCore's core principles, tools, and APIs, providing participants with hands-on experience in creating interactive prototypes and AR-based educational applications.

This instructor-led, live training (online or on-site) is aimed at beginner-level to intermediate-level participants who wish to design, develop, and deploy AR applications for Android devices and integrate immersive experiences into educational or commercial innovation projects.

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

• Understand the fundamentals of Augmented Reality and ARCore's architecture.
• Install, configure, and use the ARCore SDK with Android Studio or Unity.
• Work with ARCore APIs for motion tracking, plane detection, light estimation, and depth.
• Develop interactive AR prototypes for educational or commercial use cases.
• Test, optimise, and document AR applications for mobile deployment.

Course Format

• Theoretical presentation with real-world examples.
• Lab demonstrations using ARCore and Android devices.
• Group practical workshop focused on designing an AR app prototype.
• Final evaluation through the presentation of a functional project.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

In this instructor-led, live training in New Zealand, participants will explore the various facets of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT-based application.

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

• Identify the distinct components of NB-IoT and understand how they integrate to form a cohesive ecosystem.
• Understand and articulate the security features embedded within NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

This serves as a general introduction to Augmented Reality (AR) and can be followed by a more in-depth, focused two-day course.

ThingsBoard is an open-source IoT platform that provides device management, data collection, processing, and visualisation for your IoT solution.

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT solutions.

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

• Install and configure ThingsBoard
• Understand the fundamentals of ThingsBoard features and architecture
• Build IoT applications with ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry device data routing
• Integrate ThingsBoard with Apache Spark for data aggregation from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Course format

• A blend of lecture, discussion, exercises, and extensive hands-on practice

Note

• To request a customised training session for this course, please contact us to arrange.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level automation engineers who wish to use VR and AR technologies to design, develop, and implement VR/AR solutions in industrial automation contexts.

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

• Understand the fundamentals of VR and AR technologies.
• Explore the applications of VR/AR in industrial automation.
• Gain hands-on experience with VR/AR tools and software.
• Learn to design and develop VR/AR solutions for automation projects.
• Integrate VR/AR technologies with existing automation systems.