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

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level professionals who wish to learn how to apply AI techniques to AR and VR systems.

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

• Understand the basics of AI and its role in AR/VR technologies.
• Explore key AI-driven techniques for enhancing AR/VR experiences.
• Implement simple AI models in AR/VR applications.
• Use AI to improve interactivity and user experiences in AR/VR.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level professionals who wish to implement AI in AR/VR applications for enhanced gaming and entertainment experiences.

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

• Understand AI’s role in gaming and entertainment AR/VR applications.
• Implement AI-driven non-player characters (NPCs) in immersive environments.
• Create personalized user experiences with AI algorithms.
• Develop AR/VR gaming systems using AI for real-time processing.

Augmented Reality (AR) technology merges digital imagery with real-world objects, thereby enriching a user's engagement with their surroundings.

This instructor-led live training will guide participants through the basics of Augmented Reality (AR) technologies and key AR products as they develop AR mobile applications step by step.

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

• Create AR mobile applications
• Implement image recognition and object tracking
• Leverage geolocation features
• Grasp the ARAF format for AR content creation

Audience

• Entrepreneurs
• Content creators, journalists, or educators
• Web designers
• App developers

Course Format

• Combining lectures, discussions, exercises, and extensive hands-on practice

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

In this instructor-led live session, participants will learn how to develop Augmented Reality Android applications for diverse business and industry uses.

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

• Grasp the basics of AR
• Set up and configure necessary frameworks and tools like Vuforia and Unity for building AR apps
• Create an AR Android application that overlays virtual data onto real-world scenes
• Solve issues, test, and deploy an Augmented Reality Android app

Audience

• Developers
• Engineers

Course Format

• Combines lectures, discussions, exercises, and extensive hands-on practice

Note

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

This instructor-led, live training in the UAE (online or onsite) is aimed at 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.

ARToolKit is an open-source tracking library designed for developing Augmented Reality (AR) applications. It is compatible with Windows, Linux, Mac, Android, and iOS.

In this instructor-led live training session, participants will learn how to create a mobile AR application using ARToolKit.

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

• Create a mobile app that overlays virtual images onto real-world environments
• Preprocess video content to optimize lighting and address any issues
• Integrate ARToolKit with third-party tools such as OpenCV, Unity, OpenSceneGraph, and the device's GPS, compass, and camera calibration utilities

Course Format

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab setting.

Customization Options for the Course

• The mobile application developed during this course can be tailored for Android and/or iOS. To specify your preference, please contact us to arrange.

This instructor-led, live training in the UAE (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 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 aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and innovation in 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 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 in the UAE (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

This instructor-led, live training in the UAE (online or onsite) is aimed at intermediate-level professionals who wish 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.

In this instructor-led, live training in the UAE, participants will learn about the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy 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 how to fit together 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 serves as an overview of AR, which can be complemented by a more detailed and specialized 2-day course.

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

In this instructor-led live session, 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
• Grasp the core features and architecture of ThingsBoard
• Create IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry data routing from devices
• Connect ThingsBoard with Apache Spark to aggregate data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Course Format

• The course includes lectures, discussions, exercises, and extensive hands-on practice.

Note

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

This instructor-led, live training in the UAE (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 basics 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.