6G and IoT Training Course

This training aims to clarify what the 5G network is and its influence on smart technologies. It explores both the benefits and drawbacks of the 5G/IoT technological synergy, while highlighting the development trajectory of a network designed from the outset for the smart ecosystem.

This 21-hour training in Mexico empowers IT architects to design next-generation distributed systems. It covers the integration of 6G, edge computing, and AI to build low-latency, scalable infrastructures. Participants will develop practical skills to create secure, resilient, and intelligent edge architectures that meet future business needs.

This instructor-led, live training in Mexico 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 live, instructor-led training (available online or on-site) is designed for executive-level professionals seeking to grasp the global 6G landscape, evaluate its business potential, and formulate early strategic investment plans.

Upon completion, participants will possess the insights necessary to:

• Identify emerging market trends and global initiatives defining the 6G ecosystem.
• Comprehend regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the evolving vendor landscape and current technology maturity levels.
• Formulate a roadmap for initial investments, research collaborations, and pilot programs.

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

This instructor-led, live training in Mexico (online or onsite) is tailored for intermediate IT professionals and business managers who want to explore the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and foster 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.

This instructor-led, live training in Mexico (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 Mexico (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:

• Grasp the core principles and advantages of Federated Learning in IoT and edge computing.
• 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.
• Address challenges associated with data privacy and network limitations in IoT systems.

Discover the technical and strategic pillars of 6G in this accessible course. Delivered in Mexico, it examines key technologies, spectrum policies, and high-value applications. Understand how 6G surpasses 5G and develop a readiness roadmap to support informed strategic decisions for your organization.

This instructor-led, live training in Mexico (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.

In this instructor-led live training located in Mexico, participants will learn how to maximize the performance of Nginx by setting up, configuring, monitoring, and troubleshooting it for handling various forms of HTTP and TCP traffic. Topics covered include configuring the most important parameters in Nginx, the OS, and a virtual machine to gain maximum value out of Nginx.

This instructor-led, live training in Mexico (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.