n8n for IoT: Automating the Internet of Things Training Course

Delve deeper into the innovative realm of edge computing with this advanced course. Explore sophisticated architectures and tackle integration challenges, preparing to leverage the full potential of edge computing in a variety of business environments. Gain expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at advanced-level developers and data engineers who wish to master advanced workflow automation techniques using n8n.

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

• Create and implement advanced workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems.
• Develop and deploy custom nodes to expand n8n’s functionality.
• Optimize workflows for scalability and efficiency in data-heavy environments.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

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

• Design and implement complex workflows using n8n's visual programming interface.
• Integrate AI capabilities into workflows using LangChain.
• Build custom chatbots and virtual assistants for various use cases.
• Perform advanced data analysis and processing with AI agents.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level developers and AI hobbyists who wish to create advanced AI workflows in n8n.

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

• Understand the integration of AI services with n8n workflows.
• Implement AI-driven decision-making in automated processes.
• Create custom AI nodes and use pre-built AI nodes in n8n.
• analyze and optimize the performance of AI workflows.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at advanced-level developers and technical consultants who wish to create tailored automation solutions and expand n8n’s functionality to address specific organizational needs.

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

• Set up a development environment for building custom nodes in n8n.
• Develop custom nodes to handle specific business use cases.
• Test and debug custom nodes in a controlled environment.
• Deploy and maintain custom nodes for production use.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at 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.

Combine the transformative power of AI with the agility of edge computing in this comprehensive course. Learn to deploy AI models directly on edge devices, from understanding CNN architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills to optimize AI performance for real-time processing and decision-making at the edge.

This instructor-led, live training in Uzbekistan (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 Uzbekistan (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralize data management for faster performance, leveraging smart devices located on the source network.

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

• Understand the basic concepts and advantages of Edge Computing.
• Identify the use cases and examples where Edge Computing can be applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

Build a strong foundation in designing and managing a resilient edge computing infrastructure. Learn about open hybrid cloud infrastructures, managing workloads across diverse clouds, and ensuring flexibility and redundancy. This training provides essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in Uzbekistan (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:

• Understand 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.

This instructor-led, live training (online or onsite) is aimed at beginner-level business professionals and IT enthusiasts who wish to learn the basics of n8n and make use of its latest features for more intelligent automation.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers and IT operations staff who wish to leverage n8n for automating, monitoring, and optimizing CI/CD workflows.

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

• Set up and configure n8n for DevOps automation.
• Integrate n8n with CI/CD tools like Jenkins, GitLab, and GitHub Actions.
• Automate build, test, and deployment workflows using n8n.
• Monitor and troubleshoot CI/CD pipelines with n8n dashboards.
• Enhance DevOps workflows with custom n8n nodes and scripts.

In this instructor-led, live training in Uzbekistan, participants will learn about the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT based application.

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

• Identify the different components of NB-IoT and how to fit together to form an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

ThingsBoard is an open-source IoT platform that provides comprehensive device management, data collection, processing, and visualization capabilities for your IoT solutions.

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT projects.

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

• Install and configure ThingsBoard
• Understand the core features and architecture of ThingsBoard
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for efficient telemetry data routing from devices
• Integrate ThingsBoard with Apache Spark to aggregate data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.