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

Delve deeper into the innovative realm of edge computing with this advanced course. Explore sophisticated architectures and tackle integration challenges, preparing to leverage the full potential of edge computing in a variety of business environments. Gain expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs.

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 Spain (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 Spain (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.

Combine the transformative power of AI with the agility of edge computing in this comprehensive course. Learn to deploy AI models directly on edge devices, from understanding CNN architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills to optimize AI performance for real-time processing and decision-making at the edge.

This instructor-led, live training in Spain (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 Spain (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.

Build a strong foundation in designing and managing a resilient edge computing infrastructure. Learn about open hybrid cloud infrastructures, managing workloads across diverse clouds, and ensuring flexibility and redundancy. This training provides essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in Spain (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 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 Spain, 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.