6G and IoT Training Course

This course aims to demystify 5G networks and assess their impact on smart technologies. It covers the advantages and disadvantages of the 5G/IoT relationship, tracing the development trajectory of a network originally conceived for the smart world.

This 21-hour training in Latvia assists IT architects in designing next-generation distributed systems. It covers 6G, edge computing, and AI integration to achieve low-latency, scalable infrastructures. Participants will acquire practical skills for building secure, resilient, and intelligent edge architectures to satisfy future business requirements.

This instructor-led live training in Latvia empowers intermediate telecom engineers to evolve 4G/5G infrastructure towards 6G. It explores cloud-native RAN, edge compute, and AI-driven operations through hands-on labs and design workshops, facilitating the development of practical migration strategies.

This live, instructor-led program, available both online and onsite, is designed for executive-level attendees seeking to grasp the global 6G landscape, evaluate its commercial potential, and plan for early strategic investments.

Upon completion, participants will possess the insights required to:

• Recognize emerging market trends and global initiatives driving the 6G ecosystem.
• Grasp the regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the shifting vendor landscape and current technology readiness levels.
• Formulate a roadmap for initial investments, research collaborations, and pilot projects.

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

This instructor-led live training in Latvia (online or onsite) is designed for intermediate-level IT professionals and business managers who aim to comprehend the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and foster innovation across diverse industries.

Upon completing this training, participants will be able to:

• Understand the core principles of IoT and edge computing and their impact on digital transformation.
• Identify relevant use cases for IoT and edge computing in manufacturing, logistics, and energy.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Implement edge computing solutions to support predictive maintenance and real-time decision-making.

This live, instructor-led training delivered Latvia (either online or onsite) is specifically designed for intermediate-level developers, system architects, and industry experts aiming to enhance IoT applications through intelligent data processing and analytics powered by Edge AI.

Following this training, participants will be proficient in:

• Comprehending the basics of Edge AI and its relevance to IoT.
• Setting up and tuning Edge AI configurations for IoT devices.
• Building and rolling out AI models on edge hardware for IoT use.
• Enabling instant data processing and decision-making within IoT architectures.
• Connecting Edge AI with diverse IoT standards and platforms.
• Managing ethical frameworks and standard practices for Edge AI in IoT.

This live, instructor-led training in Latvia (delivered online or on-site) is tailored for intermediate-level professionals seeking to apply Federated Learning to refine their IoT and edge computing solutions.

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

• Comprehend the foundational principles and strategic benefits of Federated Learning in IoT and edge computing.
• Implement Federated Learning models on IoT devices for decentralized AI processing.
• Lower latency and strengthen real-time decision-making within edge computing environments.
• Address data privacy and network constraint challenges specific to IoT systems.

Discover the technical and strategic essentials of 6G in this beginner-oriented course. Delivered in Latvia, it examines key technologies, spectrum policies, and valuable use cases. Gain insights into how 6G differs from 5G and develop a readiness roadmap to facilitate informed decision-making within your organization.

Delivered by an instructor, this live training Latvia (online or in-person) targets advanced IoT developers and smart home experts aiming to refine IoT processes and build innovative solutions with n8n.

Upon completing the program, participants will be capable of:

• Setting up and tuning n8n for IoT workflow automation.
• Integrating IoT devices and platforms via n8n nodes and connectors.
• Creating bespoke workflows to automate IoT tasks and operational processes.
• Applying IoT protocols, such as MQTT and REST APIs, within n8n workflows.
• Monitoring, resolving issues in, and optimizing IoT automation workflows.

In this instructor-led live training held in Latvia, participants will learn how to maximize Nginx performance by mastering the setup, configuration, monitoring, and troubleshooting of HTTP and TCP traffic handling. The course covers the configuration of key Nginx parameters, as well as OS and virtual machine adjustments, to ensure optimal utility and performance.

This instructor-led, live training offered in Latvia (either online or onsite) is designed for intermediate-level IoT developers, embedded engineers, and AI practitioners looking to apply TinyML in predictive maintenance, anomaly detection, and smart sensor contexts.

By the end of the program, learners will have the ability to:

• Understand the core concepts of TinyML and their specific applications in IoT.
• Establish a development workspace for TinyML-based IoT projects.
• Build and run machine learning models on energy-efficient microcontrollers.
• Integrate predictive maintenance and anomaly detection workflows using TinyML.
• Optimize model performance to handle strict power and memory limitations.