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

This training aims to clarify what the 5G network is and its impact on smart technologies. We will examine both the advantages and disadvantages of the relationship between these technologies (5G / IoT) and explore the developmental directions of a network that has been dedicated to the smart world from its inception.

Augmented Reality (AR) enhances user experience by seamlessly integrating virtual, computer-generated elements into the physical real-world environment. Its adoption continues to grow across various industries.

This instructor-led live training guides participants through the process of developing Augmented Reality Android applications for diverse business and industrial use cases.

Upon completing this training, participants will be able to:

• Grasp the core principles of AR
• Install and configure essential frameworks and tools for AR development, such as Vuforia and Unity
• Develop an AR Android application that overlays computer-generated data onto live real-world feeds
• Test, troubleshoot, and deploy Augmented Reality Android applications

Audience

• Developers
• Engineers

Course Format

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

Note

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

This instructor-led live training in Norway (online or on-site) is intended 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 guided, live training session (available online or at your location) is designed for developers ranging from beginner to intermediate proficiency. The course focuses on creating mobile AR applications using ARToolKit, covering its latest mobile capabilities, natural feature tracking, calibration techniques, and integration with external sensors.

This instructor-led, live training in Norway (online or onsite) is designed for 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 Norway (online or onsite) targets intermediate-level IT professionals and business managers who want to understand how IoT and edge computing can foster efficiency, real-time processing, and innovation across different industries.

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

• Understand the core principles of IoT and edge computing and their part in digital transformation.
• Identify practical applications for IoT and edge computing in manufacturing, logistics, and energy.
• Differentiate between edge and cloud computing architectures and deployment contexts.
• Implement edge computing solutions to facilitate predictive maintenance and real-time decision-making.

This instructor-led, live training in Norway (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 Norway (online or onsite) is designed for product managers and developers seeking to decentralize data management for improved performance, by leveraging smart devices located on the source network.

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

• Grasp the fundamental concepts and benefits of Edge Computing.
• Recognize practical use cases and real-world examples of Edge Computing applications.
• Design and implement Edge Computing solutions to accelerate data processing and lower operational costs.

This instructor-led, live training in Norway (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.

Google ARCore serves as Google’s platform for crafting Augmented Reality (AR) experiences that seamlessly integrate digital content into the physical world via mobile devices. This course explores ARCore’s foundational principles, essential tools, and APIs, offering participants practical experience in developing interactive prototypes and AR-driven educational solutions.

This instructor-led live training, available either online or on-site, targets beginners to intermediate learners who aim to design, develop, and deploy AR applications for Android devices. It also supports the integration of immersive experiences into educational or commercial innovation initiatives.

Upon completing this training, participants will be equipped to:

• Grasp the fundamentals of Augmented Reality and the architecture behind ARCore.
• Utilize ARCore APIs for motion tracking, plane detection, light estimation, and depth sensing.
• Build interactive AR prototypes suitable for educational or commercial scenarios.
• Test, optimize, and document AR applications for mobile deployment.

Course Format

• Theoretical instruction supported by real-world examples.
• Lab demonstrations featuring ARCore and Android devices.
• A collaborative practical workshop focused on designing an AR app prototype.
• Final evaluation through the presentation of a functional project.

Customization Options

• For customized training requests for this course, please contact us to arrange.

In this instructor-led, live training in Norway, participants will explore 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 understand how they 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 course offers a broad overview of Augmented Reality, serving as a foundation that can be followed by a more intensive, two-day specialized training.

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

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

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

• Install and configure ThingsBoard
• Understand the core principles of ThingsBoard's features and architecture
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka to route telemetry data from devices
• Integrate ThingsBoard with Apache Spark to aggregate 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 custom training for this course, please contact us to arrange.

This instructor-led, live training in Norway (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.