6G and IoT Training Course

The primary goal of this training is to clarify what the 5G network entails and its influence on smart technologies. I aim to illustrate both the benefits and drawbacks of this technological synergy (5G / IoT) and outline the development trajectory of the network, which has been oriented toward the smart world from its inception.

This 21-hour training in Bulgaria guides IT architects in designing next-gen distributed systems. Explore 6G, edge computing, and AI integration for low-latency, scalable infrastructures. Gain practical skills for secure, resilient, and intelligent edge architectures to meet future business demands.

This instructor-led, live training in Bulgaria equips 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.

Designed for executive-level leaders, this live, instructor-led training (available online or on-site) enables participants to navigate the global 6G landscape, evaluate its commercial viability, and formulate strategies for early-stage investment.

Upon completion, participants will be equipped with the strategic insights required to:

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

This advanced, instructor-led course in Bulgaria investigates how digital twin technology and AI intersect to model and manage next-generation 6G infrastructures. Participants will develop twin models, implement AI for closed-loop optimization, and integrate real-time telemetry to achieve intent-based network control.

This instructor-led, live training in Bulgaria (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 completing this training, participants will be able to:

• Comprehend the core principles of IoT and edge computing and their significance in digital transformation.
• Recognize specific use cases for IoT and edge computing within the manufacturing, logistics, and energy industries.
• Distinguish between edge and cloud computing architectures, as well as their respective deployment scenarios.
• Deploy edge computing solutions to support predictive maintenance and real-time decision-making processes.

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

Dive into the technical and strategic pillars of 6G in this accessible course. Delivered in Bulgaria, it examines key technologies, spectrum regulations, and high-impact use cases. Discover the distinctions between 6G and 5G and create a readiness roadmap to support data-driven decision-making within your organization.

This 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 examine the entire IoT architecture—including sensors, communication protocols, microcontrollers, and cloud integration—through guided exercises utilizing development boards such as ESP32 and Raspberry Pi. Upon completing the course, learners will be equipped to construct a full IoT pipeline: capturing sensor data, transmitting it via MQTT/HTTP, processing it on cloud platforms like Azure IoT Hub, AWS IoT Core, or Google Cloud IoT, and visualizing it using tools such as Grafana or Power BI. The curriculum also addresses security best practices and simulated cyber threats to guarantee secure and robust deployments.

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

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

• Install and configure n8n for IoT workflow automation.
• Connect IoT devices and platforms utilizing n8n nodes and connectors.
• Develop custom workflows to automate IoT tasks and operational processes.
• Utilize IoT protocols such as MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimize IoT automation workflows.

In this instructor-led, live training conducted Bulgaria, participants will learn how to maximize Nginx's performance by setting up, configuring, monitoring, and troubleshooting it to manage various forms of HTTP and TCP traffic. The curriculum covers the configuration of critical Nginx parameters, along with OS and virtual machine adjustments, to ensure optimal utilization of Nginx.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

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

• Understand the fundamentals of TinyML and its applications in IoT.
• Set up a TinyML development environment for IoT projects.
• Develop and deploy ML models on low-power microcontrollers.
• Implement predictive maintenance and anomaly detection using TinyML.
• Optimize TinyML models for efficient power and memory usage.