6G and IoT Training Course

This training aims to demystify 5G networks and explore their profound impact on smart technologies. We will examine both the strengths and limitations of the synergy between 5G and IoT, while highlighting the evolutionary paths of a network that was originally designed with the smart world in mind.

This 21-hour training in Hungary empowers IT architects to design next-generation distributed systems. It explores the integration of 6G, edge computing, and AI to build low-latency, scalable infrastructures. Participants will acquire practical skills in creating secure, resilient, and intelligent edge architectures aligned with future business requirements.

This instructor-led, live training in Hungary prepares intermediate telecom engineers to evolve 4G/5G infrastructure for 6G. It covers cloud-native RAN, edge compute, and AI operations through hands-on labs and design workshops, enabling practical migration strategies.

This instructor-led, live training session, available both online and onsite, is specifically designed for executive-level professionals seeking to navigate the global 6G landscape, evaluate its commercial viability, and formulate early strategic investment plans.

Upon completion of this course, participants will possess the strategic insights necessary to:

• Recognize emerging market trends and global initiatives that are defining the 6G ecosystem.
• Comprehend the regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the shifting vendor landscape alongside current technology readiness levels.
• Construct a roadmap for initial investments, research collaborations, and pilot programs.

This advanced, instructor-led course in Hungary examines the synergy between digital twin technology and AI to model and manage next-generation 6G infrastructures. Learners will construct twin models, deploy AI for closed-loop optimization, and integrate real-time telemetry to support intent-based network control.

This instructor-led, live training in Hungary (available online or onsite) is designed for intermediate-level IT professionals and business managers who want to leverage IoT and edge computing to boost efficiency, enable real-time processing, and drive innovation across multiple industries.

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

• Comprehend the fundamental principles of IoT and edge computing and their significance in digital transformation.
• Identify relevant use cases for IoT and edge computing in manufacturing, logistics, and energy.
• Distinguish between edge and cloud computing architectures and their deployment contexts.
• Apply edge computing solutions to achieve predictive maintenance and real-time decision-making.

This live, instructor-led training (delivered online or on-site) is designed for intermediate developers, system architects, and industry experts looking to boost their IoT applications with intelligent data processing and analytics via Edge AI.

After completing this program, learners will be capable of:

• Understanding the basics of Edge AI and its role in IoT.
• Configuring and setting up Edge AI frameworks for IoT devices.
• Building and deploying AI models on edge units for IoT scenarios.
• Implementing immediate data analysis and decision logic in IoT networks.
• Integrating Edge AI with a range of IoT protocols and platforms.
• Managing ethical aspects and adhering to best practices in IoT Edge AI.

This live, instructor-led training in Hungary (online or onsite) is tailored for intermediate-level professionals aiming to utilize Federated Learning to refine IoT and edge computing solutions.

By the end of this training, participants will be capable of:

• Understanding the core principles and benefits of Federated Learning in IoT and edge computing.
• Implementing Federated Learning models on IoT devices for decentralized AI processing.
• Minimizing latency and enhancing real-time decision-making in edge computing settings.
• Addressing issues related to data privacy and network constraints within IoT systems.

Delve into the technical and strategic underpinnings of 6G in this accessible course. Delivered in Hungary, the program examines core technologies, spectrum regulations, and premium application scenarios. Gain insights into how 6G advances beyond 5G and develop a readiness roadmap to support strategic decision-making for your enterprise.

This practical, hands-on course offers a thorough introduction to the Internet of Things (IoT), spanning from device-level programming to cloud-based data processing and visualization. Participants will delve into the complete IoT architecture—including sensors, communication protocols, microcontrollers, and cloud integration—through guided exercises employing development boards like ESP32 and Raspberry Pi. By the course’s end, learners will possess the ability to build a complete IoT pipeline: reading sensor data, transmitting it via MQTT/HTTP, processing it on cloud platforms such as Azure IoT Hub, AWS IoT Core, or Google Cloud IoT, and visualizing it using tools like Grafana or Power BI. Additionally, security best practices and simulated cyber threats are covered to ensure robust and safe deployments.

This instructor-led live training, conducted in Hungary (online or onsite), is tailored for advanced-level IoT developers and smart home enthusiasts looking to automate IoT processes and build innovative solutions using n8n.

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

• Configure and deploy n8n specifically for IoT workflow automation.
• Connect IoT devices and platforms by leveraging n8n’s nodes and connectors.
• Develop bespoke workflows to streamline IoT tasks and operational processes.
• Incorporate standard IoT protocols such as MQTT and REST APIs into n8n workflows.
• Effectively monitor, debug, and optimize automated IoT workflows.

In this instructor-led live training held in Hungary, participants will master the art of maximizing Nginx performance. The session covers the setup, configuration, monitoring, and troubleshooting of Nginx to manage various HTTP and TCP traffic patterns. Key topics include optimizing essential parameters in Nginx, the operating system, and virtual machines to achieve peak operational value.

This instructor-led, live training in Hungary (online or onsite) targets intermediate-level IoT developers, embedded engineers, and AI practitioners seeking to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

Upon completing this training, participants will be equipped to:

• Comprehend the fundamentals of TinyML and its IoT applications.
• Establish a TinyML development environment for IoT projects.
• Build and deploy ML models on low-power microcontrollers.
• Utilize TinyML for predictive maintenance and anomaly detection.
• Optimize TinyML models for efficient power and memory management.