6G and IoT Training Course

This training aims to clarify the nature of 5G networks and their influence on smart technologies. We will examine both the benefits and drawbacks of the synergy between 5G and IoT, while also outlining the developmental trajectory of a network designed from the outset for the smart ecosystem.

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

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

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

• Understand how 6G will transform 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 for intelligent decision-making.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures.
• Evaluate business and operational models enabled by 6G-edge convergence.

Format of the Course

• Interactive lectures and discussions.
• Case studies and applied architecture design exercises.
• Hands-on simulation 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" course is a specialized program designed to equip telecom operators and enterprise networks for the upcoming generation of wireless connectivity. It focuses on advanced architectural and engineering methods to evolve existing systems. Key topics include the evolution of transport and fronthaul networks, cloud-native and open RAN (O-RAN) methodologies, edge computing, timing synchronization, spectrum and RF readiness, AI-driven automation, and practical migration strategies for both operators and enterprises.

This instructor-led, live training (available online or onsite) targets intermediate-level telecom engineers and network architects. It aims to help professionals design, optimize, and evolve their current 4G/5G infrastructure to meet the performance, scalability, and reliability demands of 6G.

After completing this course, participants will be able to:

• Evaluate current network infrastructure gaps and assess readiness for 6G evolution.
• Design transport, fronthaul, and backhaul architectures tailored for ultra-low latency and high throughput.
• Implement cloud-native principles, vRAN/O-RAN integration, and edge compute placement for 6G applications.
• Plan timing, synchronization, and RF upgrades necessary for mmWave/THz frequencies and dense deployments.
• Establish 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.

Course Format

• Technical lectures and in-depth architecture analysis.
• Case studies and design workshops.
• Practical labs using simulation and verification tools.

Course Customization Options

• For customized training requests, please contact us to arrange.

This guided, live training session—available either virtually or in-person—is designed for executive audiences keen on comprehending the worldwide 6G environment, evaluating its commercial viability, and formulating early strategic funding plans.

Upon completing this course, attendees will acquire the knowledge required to:

• Spot developing market trends and international efforts influencing the 6G sector.
• Grasp the regulatory frameworks and frequency allocation schedules associated with IMT-2030.
• Analyse the shifting provider market and stages of technological advancement.
• Create a strategy for initial funding, collaborative research, and trial projects.

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 explores how digital twin technology and AI-native optimization converge to model, simulate, and operate next-generation 6G infrastructures.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to apply digital twin methodologies and AI techniques to design, validate, and optimize 6G network behavior in realistic, reproducible environments.

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

• Explain the role and architecture of digital twins in the lifecycle of 6G networks.
• Build and configure digital twin models for 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 architecture deep-dives.
• Hands-on labs with simulators, twin models, and ML 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.

Technological advancements and the exponential growth of information are fundamentally transforming business operations across numerous industries, including the public sector. Government data generation and digital archiving are accelerating, driven by the rapid proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes increasingly complex, the tasks of managing, processing, storing, securing, and disposing of that data also become more intricate. New tools for capture, search, discovery, and analysis are enabling organizations to extract valuable insights from their unstructured data. The government sector is reaching a critical juncture, recognizing information as a strategic asset. Governments must now protect, leverage, and analyze both structured and unstructured data to better serve citizens and meet mission requirements. As government leaders strive to evolve into data-driven organizations to successfully achieve their missions, they are establishing the foundation to correlate dependencies across events, people, processes, and information.

High-impact government solutions will emerge from a combination of the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data represents a transformative industry solution, allowing governments to make better decisions by taking action based on patterns revealed through the analysis of large volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these capabilities requires more than just accumulating massive quantities of data. "Making sense of these volumes of Big Data requires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information," Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy wrote in a post on the OSTP Blog.

The White House took a significant step toward helping agencies identify these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to maximize the potential of the Big Data explosion and the tools necessary to analyze it.

The challenges posed by Big Data are nearly as daunting as the opportunities are encouraging. Efficient data storage is one such challenge. With budgets always tight, agencies must minimize the per-megabyte cost of storage while ensuring data remains easily accessible so users can retrieve it whenever and however they need it. Backing up massive amounts of data further intensifies this challenge.

Effective data analysis is another major hurdle. Many agencies utilize commercial tools that enable them to sift through mountains of data, identifying trends that can enhance operational efficiency. (A recent MeriTalk study found that federal IT executives believe Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.)

Custom-developed Big Data tools are also enabling agencies to address their analytical needs. For example, Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has helped medical researchers identify links that can alert doctors to aortic aneurysms before they occur. It is also used for more routine tasks, such as sifting through resumes to match job candidates with hiring managers.

This instructor-led, live training in Greece (online or onsite) is designed for 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 Greece (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.

Establish a solid foundation in designing and managing a resilient edge computing infrastructure. Gain insights into open hybrid cloud systems, workload management across diverse clouds, and the importance of flexibility and redundancy. This course provides essential knowledge for building scalable and secure infrastructure that supports the dynamic needs of modern applications through edge computing.

Embedded systems are specialized computing platforms engineered to execute specific tasks within broader operational frameworks. The Internet of Things (IoT) represents a vast network of physical devices equipped with sensors and software, enabling them to communicate and share data across the internet.

This instructor-led live training, available both online and onsite, is designed for technical professionals at the beginner level who aim to grasp and implement embedded systems and IoT concepts using C programming and microcontroller architectures.

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

• Comprehend the architecture and constituent parts of embedded systems.
• Draft and compile C code to facilitate hardware interaction.
• Utilize microcontroller peripherals, such as timers and ADCs.
• Grasp the role embedded systems play within IoT architectures.

Course Format

• Engaging lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live laboratory environment.

Customization Options

• To arrange a tailored training session for this course, please get in touch with us.

This instructor-led, live training in Greece (available online or on-site) 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:

• Grasp the principles and advantages of Federated Learning in IoT and edge computing contexts.
• 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.
• Overcome challenges related to data privacy and network limitations in IoT systems.

6G represents the subsequent generation of wireless networking, evolving beyond 5G capabilities to deliver ultra-low latency, exceptionally high throughput, pervasive intelligence, and integrated sensing for emerging application classes and services.

This instructor-led live training, available online or onsite, targets beginner to intermediate professionals seeking to grasp the technical foundations, regulatory environment, and strategic business implications of 6G to support planning and decision-making processes.

After completing this training, participants will be able to:

• Articulate fundamental 6G concepts and distinguish them from 5G.
• Recognize key enabling technologies and their practical implications.
• Evaluate high-value use cases and industry verticals that 6G will facilitate.
• Comprehend spectrum, regulatory, and policy aspects related to 6G adoption.
• Develop a high-level 6G readiness roadmap for their respective organizations.

Format of the Course

• Interactive lectures featuring conceptual walkthroughs.
• Case studies and sector-specific examples.
• Group workshop focused on creating an organizational 6G readiness outline.

Course Customization Options

• For customized training requests for this course, please contact us to arrange.

This instructor-led, live training in Greece (online or onsite) is aimed at advanced-level IoT developers and smart home enthusiasts who wish to automate IoT processes and create innovative solutions using n8n.

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

• Set up and configure n8n for IoT workflow automation.
• Integrate IoT devices and platforms using n8n nodes and connectors.
• Implement custom workflows to automate IoT tasks and processes.
• Use IoT protocols like MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimize IoT automation workflows.