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

This instructor-led, live training in the UK (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 UK (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 integrates digital images with objects in the real word, enhancing a user's interaction with their environment.

In this instructor-led, live training, participants will learn the fundamentals of Augmented Reality (AR) technologies and the main AR products as they step through the creation of AR mobile applications. 

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

• Develop AR mobile applications
• Apply image recognition and object tracking
• Use geolocation functionality
• Understand the ARAF format for AR content

Audience

• Entrepreneurs
• Content producers, journalists or teachers
• Web designers
• App developers

Format of the course

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

Augmented Reality (AR) is a technology that improves user experience by blending virtual computer-generated elements with the physical real-world environment. Adoption of AR has been seeing growth in 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:

• 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 over live real-world data
• 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 UK (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 for creating Augmented Reality (AR) applications. It supports Windows, Linux, Mac, Android and iOS.

In this instructor-led, live training, participants will learn how to build an augmented reality mobile application with ARToolKit.

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

• Develop a mobile application that overlays virtual imagery onto the real world
• Preprocess video to adjust lighting and resolve issues
• Integrate ARToolKit with third-party tools and functionality, including OpenCV, Unity, OpenSceneGraph and the mobile device's GPS, compass, and camera calibration utilities

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• The mobile application developed in this course can be target Android and/or iOS. To request your preference, please contact us to arrange.

This instructor-led, live training in the UK (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 UK (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 UK (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 UK (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 UK (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 UK, 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 is a general introduction to AR, and can be followed by a more in-depth and focused 2 day course.

ThingsBoard is an open source IoT platform that offers device management, data collection, processing and visualization 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

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 UK (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.