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

Dive 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 across diverse 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 enhances user experience by merging virtual, computer-generated elements with 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 to diverse business and industry use cases.

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

• Grasp the fundamental concepts of AR
• Install and configure essential frameworks and tools for building AR applications, such as Vuforia and Unity
• Develop an AR Android application that overlays computer-generated data onto live real-world inputs
• Troubleshoot, test, and deploy an Augmented Reality Android application

Audience

• Developers
• Engineers

Course Format

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

Note

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

This instructor-led, live training in Uzbekistan (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 on-site) is designed for beginner to intermediate-level developers who want to build a mobile AR application using ARToolKit and its latest capabilities for mobile development, natural feature tracking, calibration, and integration with external sensors.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is designed for intermediate IT professionals and business managers who wish to understand how IoT and edge computing can drive efficiency, real-time processing, and innovation across various industries.

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

• Understand the core principles of IoT and edge computing and their role in digital transformation.
• Identify use cases for IoT and edge computing in the 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.

In this comprehensive course, combine the transformative potential of AI with the agility of edge computing. 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 needed to optimise AI performance for real-time processing and decision-making at the edge.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (available online or on-site) is designed for product managers and developers who aim to leverage Edge Computing to decentralize data management, thereby achieving faster performance through the use of smart devices deployed directly on the source network.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and key advantages of Edge Computing.
• Recognize practical use cases and real-world examples where Edge Computing can be effectively applied.
• Design and implement Edge Computing solutions that enable faster data processing while reducing 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 Uzbekistan (available online or on-site) is designed for intermediate-level professionals seeking to leverage Federated Learning to optimize IoT and edge computing solutions.

By the conclusion 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.
• Tackle challenges related to data privacy and network constraints within IoT systems.

Google ARCore serves as Google’s platform for constructing Augmented Reality (AR) experiences that seamlessly integrate digital elements into the physical world via mobile devices. This course covers the foundational principles, tools, and APIs of ARCore, offering participants practical experience in building interactive prototypes and AR-driven educational applications.

This instructor-led live training, available either online or onsite, is designed for participants at beginner to intermediate levels who aim to design, develop, and deploy AR applications for Android devices, incorporating immersive experiences into educational or commercial innovation initiatives.

Upon completion of this training, participants will be capable of:

• Grasping the fundamentals of Augmented Reality and the architectural framework of ARCore.
• Installing, configuring, and utilizing the ARCore SDK within Android Studio or Unity.
• Leveraging ARCore APIs for motion tracking, plane detection, light estimation, and depth sensing.
• Creating interactive AR prototypes tailored for educational or commercial scenarios.
• Testing, optimizing, and documenting AR applications for mobile deployment.

Course Format

• Theoretical instruction supported by real-world examples.
• Laboratory demonstrations using ARCore and Android devices.
• Collaborative practical workshops focused on designing an AR application prototype.
• Final assessment through the presentation of a functional project.

Customization Options for the Course

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

In this instructor-led live training in Uzbekistan, 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 a complete ecosystem.
• Understand and explain the security features built into 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 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 using 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

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.