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

Dive deeper into the innovative domain of edge computing with this advanced course. Explore complex architectures and tackle integration challenges, preparing to fully leverage the potential of edge computing across diverse business environments. Gain expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that address specific industry requirements.

Augmented Reality (AR) is a technology that enhances 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 Italy (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 developers who want to create mobile AR applications leveraging ARToolKit's latest features for mobile devices, natural feature tracking, calibration, and integration with external sensors.

This instructor-led live training in Italy (online or onsite) is designed for advanced geometry professionals, architects, and engineers who aim to leverage Construct3D to improve spatial reasoning, design complex structures, and apply geometric concepts to practical scenarios.

Upon completion 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 Italy (online or onsite) is designed for IT professionals and business managers at an intermediate level who wish to understand how IoT and edge computing can enhance efficiency, enable real-time processing, and foster innovation across various industries.

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

• Grasp the core principles of IoT and edge computing and their significance in digital transformation.
• Recognize specific use cases for IoT and edge computing within manufacturing, logistics, and energy industries.
• Distinguish between edge and cloud computing architectures and their respective deployment contexts.
• Deploy edge computing solutions to support 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 Italy (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

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

• Grasp the fundamentals of Edge AI and its specific applications in IoT contexts.
• Set up and configure Edge AI environments tailored for IoT devices.
• Create and deploy AI models on edge devices for IoT solutions.
• Implement real-time data processing and decision-making mechanisms within IoT systems.
• Integrate Edge AI capabilities with diverse IoT protocols and platforms.
• Address ethical considerations and adhere to best practices for Edge AI in IoT.

This instructor-led, live training in Italy (online or onsite) is designed for product managers and developers aiming to decentralize data management for enhanced performance, utilizing 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.
• Recognize specific use cases and scenarios where Edge Computing is applicable.
• Design and implement Edge Computing solutions to accelerate data processing and lower operational costs.

Establish a solid foundation in designing and managing resilient edge computing infrastructure. Gain insights into open hybrid cloud infrastructures, managing workloads across diverse cloud platforms, and ensuring flexibility and redundancy. This training provides essential knowledge for creating a scalable and secure infrastructure that supports the dynamic requirements of modern applications through edge computing.

This instructor-led, live training in Italy (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 Italy, participants will explore the 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 inherent in NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

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 environments.

Upon completing 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 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 combination of lectures, discussions, exercises, and extensive hands-on practice

Note

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