5G and IoT Training Course

This instructor-led, live training in Mexico (online or onsite) is designed for intermediate-level telecom professionals, AI engineers, and IoT specialists interested in exploring how 5G networks accelerate Edge AI applications.

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

• Grasp the fundamentals of 5G technology and its influence on Edge AI.
• Deploy AI models optimized for low-latency applications within 5G environments.
• Implement real-time decision-making systems leveraging Edge AI and 5G connectivity.
• Optimize AI workloads to achieve efficient performance on edge devices.

This instructor-led, live training in Mexico (online or in-person) is designed for intermediate professionals aiming to understand, evaluate, and implement 5G networks in technical contexts.

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

• Analyze 5G network behavior within clustered environments.
• Understand the radio frequency (RF) environment unique to 5G technology.
• Evaluate real-world 5G implementation scenarios from various countries.
• Assess the strengths and limitations of 5G coverage.
• Technically interpret and analyze 5G network quality parameters.

This instructor-led, live training in Mexico (online or onsite) is aimed at intermediate-level telecom professionals who wish to understand the full 5G network lifecycle from architecture and design through deployment, operations, and security.

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.

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 live, instructor-led training (delivered online or onsite) is tailored for beginner and intermediate-level telecom engineers and field professionals seeking to apply structured deployment methodologies and industry best practices to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G in both operator and enterprise settings.

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

• Installing and configuring multi-vendor BTS systems (Huawei, ZTE, Ericsson) across 2G to 5G.
• Supervising site deployment activities and coordinating RF, transmission, power, civil, and core network teams during integration.
• Preparing telecom sites for ATP (Acceptance Test Procedure) and managing operator handover processes.
• Monitoring wireless KPIs and managing cluster-based and region-based network operations within commercial and technical reporting structures.

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.