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) enhances the user experience by combining virtual, computer-generated elements with the physical real-world environment. The adoption of AR is growing across various industries.

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

Upon completing this training, participants will be able to:

• Grasp the fundamentals of AR
• Install and configure essential frameworks and tools for building AR applications, including Vuforia and Unity
• Create an AR Android application that overlays computer-generated data onto live real-world footage
• 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 a customized training for this course, please contact us to arrange.

This instructor-led, live training in Serbia (online or onsite) is designed for developers who want 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 developers at beginner to intermediate levels who want to create mobile AR applications using ARToolKit and leverage its latest features for mobile devices, including natural feature tracking, calibration, and integration with external sensors.

This instructor-led, live training in Serbia (online or onsite) is designed for advanced-level geometry professionals, architects, and engineers who wish to leverage Construct3D to enhance 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 Serbia (online or onsite) is targeted at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enhancing efficiency, real-time processing, and innovation across various industries.

Upon completion 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 Serbia (online or onsite) targets intermediate-level developers, system architects, and industry professionals eager to leverage Edge AI to boost IoT applications with intelligent data processing and analytics.

By the conclusion 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 Serbia (online or onsite) is designed for product managers and developers aiming to decentralize data management via Edge Computing to achieve faster performance, utilizing smart devices located within the source network.

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

• Understand the core concepts and advantages of Edge Computing.
• Identify use cases and examples where Edge Computing can be effectively applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

Establish a solid foundation in designing and managing resilient edge computing infrastructure. Gain insights into open hybrid cloud setups, workload management across various clouds, and strategies for ensuring flexibility and redundancy. This training equips learners with the essential knowledge needed to build scalable, secure infrastructure capable of supporting the dynamic demands of modern applications through edge computing.

This instructor-led, live training in Serbia (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:

• Comprehend the principles and advantages of Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices for decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Overcome challenges related to data privacy and network limitations in IoT systems.

Google ARCore serves as Google's platform for creating Augmented Reality (AR) experiences that overlay digital elements onto the real world via mobile devices. This course covers ARCore's foundational concepts, tools, and APIs, offering participants practical experience in developing interactive prototypes and AR-driven educational applications.

This instructor-led live training (available online or onsite) targets beginner to intermediate learners eager to design, develop, and deploy AR applications for Android devices, integrating 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 ARCore's architecture.
• Installing, configuring, and utilizing the ARCore SDK with Android Studio or Unity.
• Leveraging ARCore APIs for motion tracking, plane detection, light estimation, and depth perception.
• Building 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.
• A group workshop focused on designing an AR application prototype.
• Final evaluation based on the presentation of a functional project.

Customization Options

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

In this instructor-led live training in Serbia, 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 providing device management, data collection, processing, and visualization for your IoT solutions.

Through this instructor-led live training, participants will learn how to integrate ThingsBoard into their IoT solutions.

Upon completing this training, participants will be able to:

• Install and configure ThingsBoard
• Understand the fundamentals of ThingsBoard's features and architecture
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry data routing from devices
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Target Audience

• Software engineers
• Hardware engineers
• Developers

Course Format

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

Note

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