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

This training aims to clarify what the 5G network is and its influence on smart technologies. It explores both the benefits and drawbacks of the 5G/IoT technological synergy, while highlighting the development trajectory of a network designed from the outset for the smart ecosystem.

Augmented Reality (AR) enhances the user experience by integrating virtual, computer-generated elements into the physical real-world environment. The adoption of AR has been growing across various industries.

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

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

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

Note

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

This instructor-led, live training in Mexico (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 (available online or onsite) is designed for beginner to intermediate-level developers who want 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 Mexico (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 Mexico (online or onsite) is tailored for intermediate IT professionals and business managers who want to explore the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and foster 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 Mexico (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 Mexico (online or onsite) is designed for product managers and developers who wish to utilize Edge Computing to decentralize data management, thereby enhancing performance by leveraging smart devices located on the source network.

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

• Grasp the fundamental concepts and benefits of Edge Computing.
• Identify practical use cases and examples where Edge Computing can be effectively applied.
• Design and implement Edge Computing solutions to accelerate data processing and minimize operational costs.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level professionals seeking to apply Federated Learning to optimize IoT and edge computing solutions.

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

• Grasp the core principles and advantages of 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 in edge computing environments.
• Address challenges associated with data privacy and network limitations in IoT systems.

Google ARCore is Google’s platform for building Augmented Reality (AR) experiences that blend digital objects into the real world through mobile devices. This course introduces ARCore’s core principles, tools, and APIs, providing participants with hands-on experience in creating interactive prototypes and AR-based educational applications.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to design, develop, and deploy AR applications for Android devices and integrate immersive experiences into educational or commercial innovation projects.

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

• Understand the fundamentals of Augmented Reality and ARCore’s architecture.
• Install, configure, and use ARCore SDK with Android Studio or Unity.
• Work with ARCore APIs for motion tracking, plane detection, light estimation, and depth.
• Develop interactive AR prototypes for educational or commercial use cases.
• Test, optimize, and document AR applications for mobile deployment.

Format of the Course

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

Course Customization Options

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

In this instructor-led live training in Mexico, 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 introduction to Augmented Reality (AR), serving as a foundation that can be extended through a more detailed, two-day specialized program.

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 architectures.

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

• Install and configure ThingsBoard
• Grasp the fundamentals of ThingsBoard features and architecture
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka to route telemetry data from devices
• Integrate ThingsBoard with Apache Spark for aggregating 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 customized training for this course, please contact us to arrange it.

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level automation engineers interested in using 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.