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

This training aims to explain the fundamentals of 5G networks and their impact on smart technologies. It highlights both the benefits and drawbacks of the relationship between these technologies (5G and IoT) and outlines the development directions of a network designed from its inception for the smart world.

Augmented Reality (AR) enhances the user experience by integrating virtual, computer-generated elements into the physical real-world environment. AR adoption is experiencing significant growth across various industries.

In this instructor-led live training, participants will learn how to develop Augmented Reality Android applications tailored for diverse business and industrial applications.

Upon completion of this training, participants will be capable of:

• Grasping the fundamental concepts of AR
• Installing and configuring essential frameworks and tools for AR development, such as Vuforia and Unity
• Developing an AR Android application that overlays computer-generated data onto live real-world feeds
• Troubleshooting, testing, and deploying 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 Turkey (online or onsite) is designed for developers who wish to use ARCore to build and enhance augmented reality applications, integrating virtual content into the real world.

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

• Configure the necessary development environment to begin building ARCore applications.
• Apply UX design guidelines to craft realistic virtual experiences for mobile apps.
• Execute immersive simulations to evaluate AR application performance.
• Optimize existing mobile applications by leveraging ARCore features.

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

This instructor-led, live training in Turkey (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 Turkey (online or onsite) is designed for intermediate-level IT professionals and business managers seeking to understand how IoT and edge computing can drive efficiency, real-time processing, and innovation across various industries.

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

• Understand the core 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 Turkey (online or onsite) is tailored for intermediate-level developers, system architects, and industry professionals seeking to leverage Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

Upon completion of this training, participants will be capable of:

• Grasping the fundamentals of Edge AI and its role in IoT.
• Setting up and configuring Edge AI environments for IoT devices.
• Developing and deploying AI models on edge devices for IoT solutions.
• Implementing real-time data processing and decision-making capabilities in IoT systems.
• Integrating Edge AI with various IoT protocols and platforms.
• Addressing ethical considerations and adhering to best practices for Edge AI in IoT.

This instructor-led, live training in Turkey (online or onsite) is designed for product managers and developers who aim to decentralize data management for improved performance by leveraging smart devices 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 Turkey (online or onsite) is designed for intermediate-level professionals aiming to apply Federated Learning to optimize IoT and edge computing solutions.

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

• Grasp the principles and advantages of applying Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities within edge computing environments.
• Overcome challenges associated with data privacy and network limitations in IoT systems.

Google ARCore is Google’s platform designed for building Augmented Reality (AR) experiences that overlay digital objects onto the real world via mobile devices. This course covers the core principles, tools, and APIs of ARCore, offering participants practical experience in creating interactive prototypes and AR-driven educational applications.

This instructor-led live training (available online or onsite) targets beginner to intermediate participants who want to design, develop, and deploy AR applications for Android devices, integrating immersive experiences into educational or commercial innovation projects.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of Augmented Reality and the architecture of ARCore.
• Install, configure, and utilize the ARCore SDK within Android Studio or Unity.
• Leverage ARCore APIs for motion tracking, plane detection, light estimation, and depth sensing.
• Develop interactive AR prototypes tailored for educational or commercial scenarios.
• Test, optimize, and document AR applications for mobile deployment.

Course Format

• Theoretical instruction complemented by real-world examples.
• Hands-on lab demonstrations using ARCore and Android devices.
• Collaborative practical workshop focused on designing an AR app prototype.
• Final evaluation through the presentation of a fully functional project.

Customization Options

• To request a customized training session for this course, please get in touch to arrange your needs.

In this instructor-led live training in Turkey, participants will explore 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 course offers a broad overview of Augmented Reality (AR), which can be followed by a more specialized, intensive two-day program for deeper exploration.

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

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 Turkey (online or onsite) is designed for intermediate-level automation engineers who wish to utilize VR and AR technologies to design, develop, and implement VR/AR solutions in industrial automation environments.

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

• Understand the fundamentals of VR and AR technologies.
• Explore VR/AR applications in industrial automation.
• Gain practical 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.