n8n for IoT: Automating the Internet of Things Training Course

This advanced course delves into the innovative realm of edge computing, providing a comprehensive exploration of sophisticated architectures and addressing integration challenges. Participants will gain the necessary skills to leverage the full potential of edge computing in various government environments. The curriculum focuses on developing expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific public sector needs for government.

This instructor-led, live training (available online or onsite) is designed for government 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 sophisticated workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems for government applications.
• Develop and deploy custom nodes to enhance n8n’s capabilities for government use.
• Optimize workflows for scalability and efficiency in data-intensive environments within the public sector.

This instructor-led, live training in [location] (online or onsite) is designed for government developers and IT professionals of all skill levels who wish to automate tasks and processes using artificial intelligence 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 (online or onsite) is designed for intermediate to advanced developers and AI enthusiasts who wish to create sophisticated AI workflows using n8n.

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

• Comprehend the integration of AI services within n8n workflows.
• Implement AI-driven decision-making in automated processes for government and other sectors.
• Develop custom AI nodes and utilize pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows to enhance efficiency and effectiveness.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level IT professionals and business managers who seek to understand the potential of IoT and edge computing for enhancing efficiency, enabling real-time processing, and fostering innovation across various industries.

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

• Comprehend the principles of IoT and edge computing and their significance in digital transformation for government and private sectors.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors, including applications for government operations.
• Differentiate between edge and cloud computing architectures and deployment scenarios suitable for government and enterprise environments.
• Implement edge computing solutions to support predictive maintenance and real-time decision-making in both public and private sector contexts.

This comprehensive course integrates the transformative power of artificial intelligence (AI) with the agility of edge computing. Participants will learn to deploy AI models directly on edge devices, covering topics from understanding convolutional neural network (CNN) architectures to mastering knowledge distillation and federated learning. This hands-on training is designed to equip professionals with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows and governance for government applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who aim to leverage Edge AI to enhance IoT applications with advanced data processing and analytics capabilities.

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

• Comprehend the core principles of Edge AI and its application in IoT systems.
• Establish and configure Edge AI environments for IoT devices.
• Create and deploy AI models on edge devices to support IoT applications.
• Execute real-time data processing and decision-making within IoT frameworks.
• Integrate Edge AI with a variety of IoT protocols and platforms.
• Address ethical considerations and best practices in the deployment of Edge AI for government and industry use cases.

This instructor-led, live training (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging smart devices located at the source network. This training aligns with public sector workflows and governance practices for government. By the end of this training, participants will be able to: - Understand the fundamental concepts and benefits of Edge Computing. - Identify use cases and examples where Edge Computing can be effectively applied. - Design and implement Edge Computing solutions to accelerate data processing and reduce operational costs.

Establish a robust foundation in designing and managing a resilient edge computing infrastructure for government. Gain insights into open hybrid cloud infrastructures, the management of workloads across multiple clouds, and the importance of flexibility and redundancy. This training offers critical knowledge on developing a scalable and secure infrastructure that supports the evolving needs of modern applications through edge computing.

This instructor-led, live training (available online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning to enhance IoT and edge computing solutions for government. By the end of this training, participants will be able to: - Understand the principles and benefits of Federated Learning in IoT and edge computing environments. - Implement Federated Learning models on IoT devices to enable decentralized AI processing. - Reduce latency and improve real-time decision-making capabilities in edge computing scenarios. - Address challenges related to data privacy and network constraints in government IoT systems.

This instructor-led, live training (available online or on-site) is designed for entry-level business professionals and IT enthusiasts who seek to understand the fundamentals of n8n and leverage its advanced features for more efficient automation processes. This training aligns with the needs of government agencies looking to enhance their workflow automation capabilities while ensuring compliance with public sector governance and accountability standards.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to utilize n8n for integrating data from diverse sources, transforming it, and automating workflows for reporting and analytics for government. By the end of this training, participants will be able to: - Understand data integration concepts and n8n’s role in supporting ETL processes. - Connect various data sources, such as databases, cloud storage, and APIs, using n8n. - Transform and clean data for analytical purposes. - Automate ETL workflows to support data reporting needs across systems.

This instructor-led, live training in [location] (online or onsite) is designed for beginner-level to intermediate-level marketing professionals who wish to automate and integrate marketing workflows using n8n. By the end of this training, participants will be able to: - Understand the fundamentals of n8n and its capabilities for government marketing automation. - Create workflows that connect social media platforms, email marketing software, and Customer Relationship Management (CRM) systems. - Develop automated processes for campaign tracking, engagement monitoring, and customer segmentation. - Apply automation techniques to save time and enhance marketing outcomes.

In this instructor-led, live training, participants will gain a comprehensive understanding of NB-IoT (also known as LTE Cat NB1) and develop and deploy a sample NB-IoT-based application. This training is designed to align with the needs and standards for government. By the end of this training, participants will be able to: - Identify the various components of NB-IoT and understand how they integrate to form an ecosystem. - Understand and articulate the security features inherent in NB-IoT devices. - Develop a simple application to track NB-IoT devices, enhancing operational efficiency and accountability for government.

ThingsBoard is an open-source IoT platform designed to offer 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 for government use.

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 and analyze 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 government use, please contact us to arrange.