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

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

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

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
• Create an AR Android application that overlays computer-generated data onto 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 extensive hands-on practice

Note

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

This instructor-led, live training in Slovakia (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.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level developers who wish to build a mobile AR application using ARToolKit and its latest capabilities for mobile, natural feature tracking, calibration, and integration with external sensors.

This instructor-led, live training in Slovakia (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 Slovakia (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 Slovakia (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 Slovakia (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 Slovakia (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 is Google’s platform for creating Augmented Reality (AR) experiences that seamlessly integrate digital objects into the real world using mobile devices. This course provides an introduction to the core principles, tools, and APIs of ARCore, giving participants hands-on experience in developing interactive prototypes and AR-based educational applications.

This instructor-led, live training (available both online and onsite) is designed for beginner to intermediate-level participants who are interested in designing, developing, and deploying AR applications for Android devices. It also covers how to integrate immersive experiences into educational or commercial innovation projects.

By the end of 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 with Android Studio or Unity.
• Work with ARCore APIs for motion tracking, plane detection, light estimation, and depth perception.
• Create interactive AR prototypes suitable for educational or commercial applications.
• Test, optimize, and document AR applications for mobile deployment.

Format of the Course

• Theoretical presentation with practical examples.
• Lab demonstrations using ARCore and Android devices.
• Group practical workshop focused on designing an AR app prototype.
• Final assessment through the presentation of a functional project.

Course Customization Options

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

Unlike other technologies, IoT (Internet of Things) is far more intricate, encompassing a wide range of core engineering disciplines such as Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each layer of its engineering involves aspects of economics, standards, regulations, and the evolving state of the art. This course, for the first time, offers a comprehensive overview of all these critical aspects of IoT Engineering.

Summary

An advanced training program covering the current advancements in Internet of Things technology.

This program delves into multiple technological domains to develop an awareness of an IoT system and its components, demonstrating how it can benefit businesses and organizations.

Live demonstrations of model IoT applications will showcase practical deployments across various industry sectors, including Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving connected devices and things.

Target Audience

The course is designed for managers responsible for business and operational processes within their organizations who wish to understand how to leverage IoT to enhance system efficiency.

It is also ideal for entrepreneurs and investors looking to build new ventures by gaining a deeper understanding of the IoT technology landscape, enabling them to utilize it effectively.

Estimates for the value of the Internet of Things (IoT) market are substantial. By definition, the IoT is an integrated and pervasive layer of devices, sensors, and computing power that spans consumer, business-to-business, and government industries. The number of IoT connections is expected to grow from 1.9 billion devices today to 9 billion by 2018, roughly equaling the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.

In the consumer space, many products and services have already transitioned into the IoT, including kitchen and home appliances, parking solutions, RFID technology, lighting and heating systems, and various applications in the Industrial Internet.

While the underlying technologies of IoT are not new—M2M (Machine-to-Machine) communication has existed since the inception of the internet—the recent surge in inexpensive wireless technologies and the widespread adoption of smartphones and tablets in homes have driven the current demand for IoT.

The vast opportunities in the IoT business have attracted a large number of small and medium-sized entrepreneurs, contributing to what is often referred to as an IoT gold rush. The emergence of open-source electronics and IoT platforms has made it increasingly affordable to develop and manage IoT systems on a significant scale. Existing electronic product owners are feeling pressure to integrate their devices with the internet or mobile apps.

This training aims to provide a technological and business review of this emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the fundamentals of IoT technology and its business potential.

Course Objective

The primary goal of the course is to introduce participants to the latest technological options, platforms, and case studies of IoT implementation in areas such as home and city automation (smart homes and cities), Industrial Internet, healthcare, government, mobile cellular networks, and more.

The course covers a basic introduction to all elements of IoT, including Mechanical components, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-Enterprise integration, Data analytics, and Total control plane.

It also explores M2M (Machine-to-Machine) wireless protocols for IoT, such as WiFi, Zigbee/Zwave, Bluetooth, and ANT+, explaining when and where to use each one.

The course discusses the development of Mobile/Desktop/Web applications for registration, data acquisition, and control, along with available M2M data acquisition platforms like Xively, Omega, and NovoTech.

It addresses security issues and solutions for IoT systems.

The training covers open-source and commercial electronics platforms for IoT, such as Raspberry Pi, Arduino, and ArmMbedLPC.

Additionally, it explores open-source and commercial enterprise cloud platforms like AWS-IoT apps, Azure-IOT, Watson-IOT cloud, and other minor IoT clouds.

The course includes case studies of the business and technology aspects of common IoT devices, such as home automation systems, smoke alarms, vehicles, military applications, and home health solutions.

In this instructor-led, live training in Slovakia, 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 a general introduction to augmented reality (AR) and can be complemented with a more detailed and specialized two-day course.

ThingsBoard is an open-source IoT platform that provides 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 projects.

By the end 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 device data routing
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the course

• Combination of lecture, discussion, practical exercises, and extensive hands-on practice

Note

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

This instructor-led, live training in Slovakia (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.