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

This training aims to elucidate the nature of 5G networks and their profound influence on smart technologies. We will explore both the benefits and drawbacks of the synergy between 5G and IoT, while highlighting the developmental trajectory of a network designed from its inception for the smart world.

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

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

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

• Grasp 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 feeds
• Troubleshoot, test, and deploy an Augmented Reality Android application

Audience

• Developers
• Engineers

Format of the course

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

Note

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

This instructor-led live training in the UAE (online or onsite) is tailored for developers who wish to use ARCore to build and enhance augmented reality apps, 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 start developing ARCore apps.
• Understand the UX design guidelines to create realistic virtual experiences for mobile apps.
• Run immersive simulations to test AR apps performance.
• Enhance existing mobile apps by optimizing the ARCore features.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate developers who want to build mobile AR applications using ARToolKit. The course covers the latest mobile capabilities, including natural feature tracking, calibration, and integration with external sensors.

This instructor-led live training in the UAE (available online or on-site) targets advanced-level geometry professionals, architects, and engineers who aim to utilize Construct3D to enhance 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 visualization.
• Design and manipulate complex geometric shapes in augmented reality.
• Integrate augmented reality with geometric design in professional practice.

This instructor-led, live training in the UAE (online or onsite) is designed for intermediate-level IT professionals and business managers who wish to explore the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and drive innovation across various sectors.

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

• Understand the core principles of IoT and edge computing and their role in digital transformation.
• Identify relevant use cases for IoT and edge computing in manufacturing, logistics, and energy.
• 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 the UAE (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:

• 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 session in the UAE (available online or onsite) is intended for product managers and developers who aim to decentralize data management to improve performance by leveraging smart devices located on the source network.

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

• Grasp the basic concepts and advantages of Edge Computing.
• Identify specific use cases and examples suitable for Edge Computing applications.
• Design and build Edge Computing solutions to enable faster data processing and reduce operational costs.

This instructor-led, live training in the UAE (online or onsite) targets intermediate-level professionals aiming to apply Federated Learning to optimize 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.

Google ARCore is a platform designed by Google to facilitate the creation of Augmented Reality (AR) experiences that seamlessly integrate digital objects into the real world via mobile devices. This course covers the fundamental principles, tools, and APIs of ARCore, offering participants practical experience in building interactive prototypes and AR-based educational applications.

This instructor-led live training, available online or on-site, is tailored for beginner to intermediate participants looking to design, develop, and deploy AR applications for Android devices, as well as integrate immersive experiences into educational or commercial innovation initiatives.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of Augmented Reality and understand ARCore’s architecture.
• Install, configure, and utilize the ARCore SDK within Android Studio or Unity.
• Apply ARCore APIs for motion tracking, plane detection, light estimation, and depth sensing.
• Build interactive AR prototypes suitable for educational or commercial use cases.
• Test, optimize, and document AR applications for mobile deployment.

Course Format

• Theoretical presentations supported by real-world examples.
• Hands-on lab demonstrations using ARCore and Android devices.
• Collaborative practical workshops focused on designing an AR app prototype.
• Final assessment through the presentation of a functional project.

Course Customization Options

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

In this instructor-led, live training in the UAE, participants will explore the various aspects of NB-IoT (also known as LTE Cat NB1) while developing and deploying a sample NB-IoT-based application.

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

• Identify the different components of NB-IoT and understand how they integrate to form an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

This module offers a foundational overview of Augmented Reality (AR), serving as a precursor to a more comprehensive, specialized two-day training course.

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

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

Upon completion of this training, participants will be able to:

• Install and configure ThingsBoard
• Understand the core features and architecture of ThingsBoard
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for routing telemetry data from devices
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Course Format

• A mix of lectures, discussions, exercises, and extensive hands-on practice

Note

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

This instructor-led training, conducted in the UAE (online or on-site), is tailored for intermediate-level automation engineers aiming to utilize VR and AR technologies to design, develop, and implement solutions for industrial automation.

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

• Understand the fundamentals of VR and AR technologies.
• Explore how VR and AR are applied in industrial automation.
• Gain practical experience using VR and AR tools and software.
• Learn to create and develop VR and AR solutions for automation initiatives.
• Integrate VR and AR technologies with current automation systems.