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. The focus is on illustrating both the benefits and drawbacks of this technological synergy (5G / IoT), while also highlighting the developmental trajectory of a network inherently designed for the smart ecosystem from its inception.

This 21-hour training in Botswana empowers IT architects to design next-generation distributed systems. By exploring 6G, edge computing, and AI integration, you will learn to build low-latency, scalable infrastructures. Develop practical skills to create secure, resilient, and intelligent edge architectures that meet future business demands.

This instructor-led, live training in Botswana 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.

Delivered as a live, instructor-led session (available online or on-site), this program is specifically designed for executive-level professionals seeking to grasp the global 6G environment, evaluate its commercial viability, and formulate early-stage strategic investment plans.

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

• Recognize emerging market trends and international initiatives that are defining the 6G ecosystem.
• Grasp the regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the shifting vendor environment and current levels of technology readiness.
• Construct a strategic roadmap for initial investments, research collaborations, and pilot programs.

This advanced, instructor-led course in Botswana explores the synergy between digital twin technology and AI to model and manage 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 Botswana (online or on-site) is designed for intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enabling efficiency, real-time processing, and 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 Botswana (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 Botswana (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:

• Grasp 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 Botswana, it examines key technologies, spectrum policies, and high-value use cases. Gain insight into how 6G transcends 5G and create a readiness roadmap to support informed decision-making within your organization.

This instructor-led, live training in Botswana (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 held in Botswana, participants will learn how to maximise Nginx performance by setting up, configuring, monitoring, and troubleshooting it to manage various forms of HTTP and TCP traffic. Topics include configuring the most important Nginx parameters, the operating system, and virtual machines to gain maximum value from Nginx.

This instructor-led, live training in Botswana (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.