6G and IoT Training Course

The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.

This 21-hour training in Serbia empowers IT architects to design next-generation distributed systems. It explores the synergy of 6G, edge computing, and AI integration to build low-latency, scalable infrastructures. Participants gain practical skills to create secure, resilient, and intelligent edge architectures that meet evolving business demands.

This instructor-led, live training in Serbia helps intermediate telecom engineers 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 program, available online or on-site, is designed for senior executives seeking to navigate the global 6G landscape, evaluate its commercial viability, and establish a framework for strategic early-stage investment.

Upon completion, participants will possess the strategic perspective required to:

• Identify key market trends and international initiatives defining the emerging 6G ecosystem.
• Navigate the regulatory and spectrum allocation pathways associated with the IMT-2030 framework.
• Assess the competitive vendor environment and the current maturity levels of underlying technologies.
• Formulate a strategic roadmap encompassing initial investments, research collaborations, and pilot programs.

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.

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

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.

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.

Discover the technical and strategic underpinnings of 6G in this accessible course. Delivered in Serbia, it explores core technologies, spectrum policies, and critical use cases. Understand the distinctions between 6G and 5G, and develop a readiness roadmap to support strategic organizational decision-making.

This instructor-led, live training in Serbia (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.