Internet of Things (IoT) Training in Antalya

This instructor-led, live training in Antalya (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.

This instructor-led, live training in Antalya (online or onsite) is designed for intermediate-level professionals aiming to apply Federated Learning to optimize IoT and edge computing solutions.

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

• Grasp the principles and advantages of applying 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 within edge computing environments.
• Overcome challenges associated with data privacy and network limitations in IoT systems.

This instructor-led, live training in Antalya (online or onsite) is tailored for intermediate-level developers, system architects, and industry professionals seeking to leverage Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

Upon completion of this training, participants will be capable of:

• Grasping the fundamentals of Edge AI and its role in IoT.
• Setting up and configuring Edge AI environments for IoT devices.
• Developing and deploying AI models on edge devices for IoT solutions.
• Implementing real-time data processing and decision-making capabilities in IoT systems.
• Integrating Edge AI with various IoT protocols and platforms.
• Addressing ethical considerations and adhering to best practices for Edge AI in IoT.

This instructor-led, live training in Antalya (online or onsite) is tailored for intermediate-level IoT developers, embedded engineers, and AI practitioners aiming to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

By the conclusion 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.

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

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

• Understand the core 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 training aims to explain the fundamentals of 5G networks and their impact on smart technologies. It highlights both the benefits and drawbacks of the relationship between these technologies (5G and IoT) and outlines the development directions of a network designed from its inception for the smart world.

In this instructor-led live training in Antalya, participants will discover how to maximize Nginx's performance by setting it up, configuring, monitoring, and troubleshooting it for various HTTP and TCP traffic types. Key topics include configuring essential Nginx parameters, as well as optimizing the OS and virtual machine settings to derive the greatest benefit from Nginx.