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

This advanced course delves into the innovative realm of edge computing, providing a comprehensive exploration of sophisticated architectures and addressing integration challenges. Participants will gain the necessary skills to leverage the full potential of edge computing in various government environments. The curriculum focuses on developing expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific public sector needs for government.

Augmented Reality (AR) technology integrates digital images with real-world objects, enhancing a user's interaction with their environment.

This instructor-led, live training for government participants will cover the fundamentals of Augmented Reality (AR) technologies and the main AR products as they step through the creation of AR mobile applications tailored to public sector needs.

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

• Develop AR mobile applications for government use
• Apply image recognition and object tracking in a governmental context
• Utilize geolocation functionality for public sector applications
• Understand the ARAF format for AR content creation for government purposes

Audience

• Government entrepreneurs and innovators
• Content producers, journalists, or educators in public service
• Web designers working for government agencies
• App developers supporting governmental projects

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

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

This instructor-led, live training program is designed to equip participants with the skills needed to develop Augmented Reality Android applications for government and other sectors.

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

• Understand the foundational principles 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 real-world environments
• Troubleshoot, test, and deploy an Augmented Reality Android application

Audience

• Developers
• Engineers

Format of the Course

• Part lecture, part discussion, with practical exercises and extensive hands-on practice

Note

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

This instructor-led, live training in [location] (online or onsite) is aimed at developers who wish to use ARCore to build and enhance augmented reality applications, integrating virtual content into real-world environments for government and other sectors. By the end of this training, participants will be able to: - Set up the necessary development environment to start building ARCore applications. - Understand user experience (UX) design guidelines to create realistic virtual experiences for mobile applications. - Conduct immersive simulations to test the performance of AR applications. - Enhance existing mobile applications by optimizing ARCore features.

This instructor-led, live training (conducted online or on-site) is designed for government developers at the beginner to intermediate level who are interested in constructing a mobile augmented reality (AR) application. Participants will learn to utilize ARToolKit and its advanced features for mobile natural feature tracking, calibration, and integration with external sensors, specifically tailored for government applications.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level IT professionals and business managers who seek to understand the potential of IoT and edge computing for enhancing efficiency, enabling real-time processing, and fostering innovation across various industries.

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

• Comprehend the principles of IoT and edge computing and their significance in digital transformation for government and private sectors.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors, including applications for government operations.
• Differentiate between edge and cloud computing architectures and deployment scenarios suitable for government and enterprise environments.
• Implement edge computing solutions to support predictive maintenance and real-time decision-making in both public and private sector contexts.

This comprehensive course integrates the transformative power of artificial intelligence (AI) with the agility of edge computing. Participants will learn to deploy AI models directly on edge devices, covering topics from understanding convolutional neural network (CNN) architectures to mastering knowledge distillation and federated learning. This hands-on training is designed to equip professionals with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows and governance for government applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who aim to leverage Edge AI to enhance IoT applications with advanced data processing and analytics capabilities.

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

• Comprehend the core principles of Edge AI and its application in IoT systems.
• Establish and configure Edge AI environments for IoT devices.
• Create and deploy AI models on edge devices to support IoT applications.
• Execute real-time data processing and decision-making within IoT frameworks.
• Integrate Edge AI with a variety of IoT protocols and platforms.
• Address ethical considerations and best practices in the deployment of Edge AI for government and industry use cases.

This instructor-led, live training (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging smart devices located at the source network. This training aligns with public sector workflows and governance practices for government. By the end of this training, participants will be able to: - Understand the fundamental concepts and benefits of Edge Computing. - Identify use cases and examples where Edge Computing can be effectively applied. - Design and implement Edge Computing solutions to accelerate data processing and reduce operational costs.

Establish a robust foundation in designing and managing a resilient edge computing infrastructure for government. Gain insights into open hybrid cloud infrastructures, the management of workloads across multiple clouds, and the importance of flexibility and redundancy. This training offers critical knowledge on developing a scalable and secure infrastructure that supports the evolving needs of modern applications through edge computing.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning to enhance IoT and edge computing solutions for government. By the end of this training, participants will be able to: - Understand the principles and benefits of Federated Learning in IoT and edge computing environments. - Implement Federated Learning models on IoT devices to enable decentralized AI processing. - Reduce latency and improve real-time decision-making capabilities in edge computing scenarios. - Address challenges related to data privacy and network constraints in government IoT systems.

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

This instructor-led, live training (available online or onsite) is tailored for government personnel and other beginner-level to intermediate-level participants who wish to design, develop, and deploy AR applications for Android devices. It also covers integrating immersive experiences into educational or commercial innovation projects for government use.

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

• Understand 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.
• Develop interactive AR prototypes suitable for educational or commercial use cases.
• Test, optimize, and document AR applications for mobile deployment in government settings.

Format of the Course

• Theoretical presentations with real-world examples.
• Laboratory demonstrations using ARCore and Android devices.
• Group practical workshops focused on designing an AR app prototype for government applications.
• Final evaluation through the presentation of a functional project.

Course Customization Options

• To request a customized training for this course, please contact us to arrange specific content and scenarios relevant to your government needs.

In this instructor-led, live training, participants will gain a comprehensive understanding of NB-IoT (also known as LTE Cat NB1) and develop and deploy a sample NB-IoT-based application. This training is designed to align with the needs and standards for government. By the end of this training, participants will be able to: - Identify the various components of NB-IoT and understand how they integrate to form an ecosystem. - Understand and articulate the security features inherent in NB-IoT devices. - Develop a simple application to track NB-IoT devices, enhancing operational efficiency and accountability for government.

This serves as an introductory overview to Augmented Reality (AR) and can be complemented by a more detailed and specialized two-day course for government personnel.

ThingsBoard is an open-source IoT platform designed to offer comprehensive 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 projects for government use.

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 efficient telemetry data routing from devices
• Integrate ThingsBoard with Apache Spark to aggregate and analyze data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the Course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

• To request a customized training for government use, please contact us to arrange.