6G and IoT Training Course

This training aims to clarify the nature of 5G networks and their influence on smart technologies. We will explore both the advantages and disadvantages of the relationship between 5G and IoT, while highlighting the developmental trajectory of a network designed from its inception for the smart ecosystem.

This 21-hour training in France guides IT architects in designing next-generation distributed systems. It explores the integration of 6G, edge computing, and AI to build low-latency, scalable infrastructures. Participants will gain practical skills for developing secure, resilient, and intelligent edge architectures that meet future business demands.

This instructor-led, live training in France 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 the development of practical migration strategies.

This live, instructor-led training—delivered online or onsite—is tailored for executives seeking to master the global 6G landscape, evaluate its commercial potential, and plan early strategic investments.

By the course's conclusion, participants will possess the insights necessary to:

• Identify the emerging trends and global efforts defining the 6G ecosystem.
• Comprehend the regulatory and spectrum allocation timelines associated with IMT-2030.
• Assess the evolving vendor environment and current technology readiness states.
• Formulate a roadmap for initial capital allocation, research alliances, and pilot programs.

This advanced, instructor-led course in France delves into how digital twin technology and AI work together to model and operate next-generation 6G infrastructures. Participants will construct twin models, apply AI for closed-loop optimization, and integrate real-time telemetry to achieve intent-based network control.

This instructor-led, live training in France (online or onsite) is designed for intermediate-level IT professionals and business managers who want to understand how IoT and edge computing can drive efficiency, real-time processing, and innovation across various industries.

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

• Grasp the fundamental principles of IoT and edge computing and their significance in digital transformation.
• Recognize practical applications of IoT and edge computing in manufacturing, logistics, and energy sectors.
• Distinguish between edge and cloud computing architectures and their respective deployment scenarios.
• Deploy edge computing solutions to support predictive maintenance and real-time decision-making.

This instructor-led live training, conducted in France (online or onsite), is designed for intermediate developers, system architects, and industry professionals aiming to utilize Edge AI to enhance IoT applications with intelligent data processing and analytics.

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

• Comprehend 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 France (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.

Discover the technical and strategic pillars of 6G in this accessible course. Delivered in France, it examines core technologies, spectrum policies, and high-impact use cases. Understand the distinctions between 6G and 5G, and formulate a readiness roadmap to guide informed organizational decision-making.

This instructor-led live training in France (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 completing 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.
• 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 in France, participants will learn how to maximize the performance of Nginx by setting it up, configuring, monitoring, and troubleshooting it to handle various forms of HTTP and TCP traffic. Covered topics include configuring critical parameters in Nginx, the OS, and a virtual machine to gain maximum value from Nginx.

This instructor-led, live training in France (online or onsite) is designed for intermediate-level IoT developers, embedded engineers, and AI practitioners who want to apply TinyML for predictive maintenance, anomaly detection, and smart sensor solutions.

Upon completing this training, participants will be able to:

• Grasp the core principles of TinyML and its role in IoT ecosystems.
• Configure a TinyML development environment tailored for IoT projects.
• Create and deploy machine learning models on low-power microcontrollers.
• Apply TinyML techniques for predictive maintenance and anomaly detection.
• Refine TinyML models to maximize power efficiency and minimize memory consumption.