6G and IoT Training Course

The 6G and the Intelligent Edge is a forward-looking course that delves into the integration of 6G wireless technologies with edge computing, IoT ecosystems, and AI-driven data processing. This course aims to support intelligent, low-latency, and adaptive infrastructures.

This instructor-led, live training (available online or on-site) is designed for intermediate-level IT architects who wish to understand and design next-generation distributed architectures by leveraging the synergy of 6G connectivity and intelligent edge systems.

Upon completing this course, participants will be able to:

• Grasp how 6G will revolutionize edge computing and IoT architectures.
• Design distributed systems for ultra-low latency, high bandwidth, and autonomous operations.
• Integrate AI and data analytics at the edge to facilitate intelligent decision-making.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures.
• Evaluate business and operational models enabled by the convergence of 6G and edge technologies.

Format of the Course

• Interactive lectures and discussions.
• Case studies and practical architecture design exercises.
• Hands-on simulations with optional edge or container tools.

Course Customization Options

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

The 6G-Ready Infrastructure and Network Design is a specialized training program aimed at equipping existing telecom and enterprise networks with the advanced architectural and engineering practices necessary for the next generation of wireless connectivity. This program delves into transport and fronthaul evolution, cloud-native and open RAN approaches, edge and distributed computing, timing and synchronization, spectrum and RF readiness, automation, and AI-native operations, along with practical migration strategies for operators and enterprises.

This instructor-led, live training (available both online and on-site) is designed for intermediate-level telecom engineers and network architects who are looking to design, optimize, and evolve their current 4G/5G infrastructure to meet the performance, scalability, and reliability demands of 6G.

Upon completing this course, participants will be able to:

• Evaluate the current network infrastructure's gaps and readiness for 6G evolution.
• Design transport and fronthaul/backhaul architectures that support ultra-low latency and high throughput.
• Implement cloud-native principles, vRAN/O-RAN integration, and edge compute placement to meet 6G use cases.
• Plan the necessary timing, synchronization, and RF upgrades for mmWave/THz and dense deployments.
• Develop testing, validation, and operational monitoring strategies to ensure performance and reliability.
• Create a phased migration and investment roadmap that aligns with business priorities and risk management.

Format of the Course

• Technical lectures and in-depth architecture discussions.
• Case studies and design workshops.
• Hands-on labs using simulation and verification tools.

Course Customization Options

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

This instructor-led, live training (online or onsite) is aimed at executive-level participants who wish to understand the global 6G landscape, assess its business potential, and plan early strategic investments.

By the end of this course, participants will gain the insights needed to:

• Identify emerging market trends and global initiatives shaping the 6G ecosystem.
• Understand regulatory and spectrum allocation timelines related to IMT-2030.
• Evaluate the evolving vendor landscape and technology readiness levels.
• Develop a roadmap for early investment, research partnerships, and pilot initiatives.

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.

AI and Digital Twins in 6G Networks is an advanced, specialized course that delves into how digital twin technology and AI-native optimization come together to model, simulate, and manage the next-generation 6G infrastructures.

This instructor-led, live training (available online or on-site) is designed for advanced-level professionals who want to apply digital twin methodologies and AI techniques to design, validate, and optimize 6G network behavior in realistic, reproducible environments.

Upon completing this training, participants will be able to:

• Explain the role and architecture of digital twins throughout the lifecycle of 6G networks.
• Build and configure digital twin models for radio access network (RAN), transport, and edge compute components.
• Apply AI/ML methods for closed-loop optimization, anomaly detection, and predictive maintenance of network elements.
• Integrate real-time telemetry and simulation data to enable model-driven orchestration and intent-based control.
• Design validation and verification workflows using co-simulation, emulation, and digital twin testbeds.

Format of the Course

• Technical lectures and in-depth architectural discussions.
• Hands-on labs with simulators, twin models, and machine learning toolchains.
• Case study walkthroughs and a practical mini-project integration exercise.

Course Customization Options

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

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

6G represents the next-generation wireless networking framework that builds upon the advancements of 5G. It aims to enable ultra-low latency, extremely high throughput, pervasive intelligence, and integrated sensing capabilities, paving the way for new classes of applications and services.

This instructor-led, live training (available both online and on-site) is designed for professionals at beginner to intermediate levels who are interested in understanding the technical foundations, regulatory environment, and strategic business implications of 6G. The goal is to equip participants with the knowledge needed for effective planning and decision-making.

Upon completing this training, participants will be able to:

• Explain the fundamental concepts of 6G and how they differ from those of 5G.
• Identify key enabling technologies and their practical implications for real-world applications.
• Evaluate high-value use cases and industry sectors that will benefit from 6G technology.
• Understand the spectrum, regulatory, and policy considerations necessary for the adoption of 6G.
• Develop a high-level roadmap to prepare their organization for 6G readiness.

Format of the Course

• Interactive lectures that provide conceptual walkthroughs.
• Case studies and examples specific to various sectors.
• A group workshop focused on developing an organizational 6G readiness plan.

Course Customization Options

• For customized training tailored to your organization's needs, please contact us to arrange a personalized session.

Unlike other technologies, IoT is significantly more intricate, encompassing a wide range of core engineering disciplines such as Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each layer of its engineering involves aspects of economics, standards, regulations, and the evolving state of the art. This course is uniquely designed to cover all these critical aspects of IoT Engineering comprehensively.

Summary

An advanced training program that explores the current state-of-the-art in Internet of Things technology.

This program spans multiple technological domains to provide a broad understanding of an IoT system and its components, demonstrating how it can benefit businesses and organizations.

Live demonstrations of model IoT applications will showcase practical IoT deployments across various industry sectors, including Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving connected devices and things.

Target Audience

Managers responsible for business and operational processes within their organizations who wish to learn how to leverage IoT to enhance system and process efficiency.

Entrepreneurs and Investors looking to establish new ventures and gain a deeper understanding of the IoT technology landscape to effectively utilize it in their projects.

The estimated market value of Internet of Things (IoT) is substantial, given that IoT is an integrated and pervasive layer of devices, sensors, and computing power that spans consumer, business-to-business, and government industries. By 2018, the number of connected devices is projected to reach 9 billion, rivaling the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.

In the consumer space, many products and services have already integrated with IoT, including kitchen and home appliances, parking solutions, RFID systems, lighting and heating products, and various applications in Industrial Internet.

While the underlying technologies of IoT are not new—M2M communication has existed since the inception of the internet—the recent emergence of numerous inexpensive wireless technologies, coupled with the widespread adoption of smartphones and tablets, has driven the explosive growth of mobile devices, leading to the current demand for IoT.

The vast opportunities in the IoT business have attracted a significant number of small and medium-sized entrepreneurs. The rise of open-source electronics and IoT platforms has made it increasingly affordable to develop and manage IoT systems on a large scale. Existing electronic product owners are feeling pressure to integrate their devices with the internet or mobile apps.

This training program is designed to provide a comprehensive review of an emerging industry, enabling IoT enthusiasts and entrepreneurs to grasp the fundamentals of IoT technology and business.

Course Objective

The primary goal of the course is to introduce participants to emerging technological options, platforms, and case studies of IoT implementation in areas such as home and city automation (smart homes and cities), Industrial Internet, healthcare, government, mobile cellular networks, and others.

A basic introduction to all elements of IoT will be provided, including Mechanical components, Electronics/sensor platforms, Wireless and wireline protocols, Mobile-to-Electronics integration, Mobile-to-enterprise integration, Data analytics, and Total control plane.

Discussion on M2M wireless protocols for IoT—WiFi, Zigbee/Zwave, Bluetooth, ANT+—and when to use each one.

Coverage of mobile/desktop/web applications for registration, data acquisition, and control, including available M2M data acquisition platforms such as Xively, Omega, and NovoTech.

Examination of security issues and solutions for IoT.

Introduction to open-source and commercial electronics platforms for IoT, such as Raspberry Pi, Arduino, and ArmMbedLPC.

Overview of open-source and commercial enterprise cloud platforms for AWS-IoT apps, Azure-IOT, Watson-IOT cloud, and other minor IoT clouds.

Case studies on the business and technology aspects of common IoT devices like home automation systems, smoke alarms, vehicles, military applications, and home health solutions.

In this instructor-led, live training in Serbia, 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.

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 core features and architecture of ThingsBoard
• Build IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for device data routing
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the course

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

Note

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