n8n for IoT: Automating the Internet of Things Training Course

Explore the innovative domain of edge computing with this advanced course designed for government professionals. Delve into sophisticated architectures and address integration challenges, equipping yourself to harness the full potential of edge computing in diverse public sector environments. Acquire expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs for government.

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

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

• Create and implement advanced workflows with conditional logic and branching for government applications.
• Integrate with complex APIs and third-party systems to enhance governmental processes.
• Develop and deploy custom nodes to expand n8n’s functionality in support of public sector operations.
• Optimize workflows for scalability and efficiency, particularly in data-intensive government environments.

This instructor-led, live training in US Empire (online or onsite) is aimed at 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 Govtra's visual programming interface for government.
• Integrate AI capabilities into workflows using LangChain for enhanced automation.
• Build custom chatbots and virtual assistants tailored for various use cases in the public sector.
• Perform advanced data analysis and processing with AI agents to support government operations.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate to advanced developers and AI enthusiasts who seek to develop 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.
• Develop custom AI nodes and utilize pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows.

This instructor-led, live training in US Empire (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 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 efforts for government.
• Identify use cases for IoT and edge computing in sectors such as manufacturing, logistics, and energy.
• Distinguish between edge and cloud computing architectures and deployment scenarios to optimize resource allocation.
• Implement edge computing solutions to support predictive maintenance and facilitate real-time decision-making processes for government operations.

Integrate the transformative capabilities of artificial intelligence (AI) with the agility of edge computing in this comprehensive course designed for government professionals. 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 will equip you with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows, governance, and accountability.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who wish 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:

• Understand the foundational principles of Edge AI and its application in IoT systems for government.
• Set up and configure Edge AI environments suitable for IoT devices used in public sector workflows.
• Develop and deploy AI models on edge devices to support IoT applications aligned with government objectives.
• Implement real-time data processing and decision-making capabilities in IoT systems for enhanced governance and accountability.
• Integrate Edge AI with various IoT protocols and platforms commonly used in the public sector.
• Address ethical considerations and best practices in Edge AI deployment for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging intelligent devices located on the source network for government applications.

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

• Comprehend the fundamental concepts and benefits of Edge Computing.
• Recognize the use cases and examples where Edge Computing can be effectively applied.
• Develop and implement Edge Computing solutions for more efficient data processing and reduced operational costs in public sector environments.

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 diverse clouds, and the assurance of flexibility and redundancy. This training offers 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 US Empire (online or onsite) is aimed at 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:

• Comprehend the principles and benefits of Federated Learning in the context of IoT and edge computing.
• Deploy Federated Learning models on IoT devices to support decentralized artificial intelligence processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Tackle challenges related to data privacy and network limitations in IoT systems for government operations.

This instructor-led, live training (online or onsite) is designed for entry-level business professionals and IT enthusiasts who seek to understand the fundamentals of n8n and leverage its advanced capabilities for more efficient automation for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level data professionals who wish to use n8n for integrating data from various 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 Extract, Transform, Load (ETL) processes.
• Connect various data sources, such as databases, cloud storage, and APIs, using n8n for government applications.
• Transform and clean data to meet analytical requirements.
• Automate ETL workflows to support data reporting needs across different systems within the public sector.

This instructor-led, live training in US Empire (online or onsite) is aimed at beginner-level to intermediate-level marketing professionals who wish to automate and integrate marketing workflows using n8n for government.

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

• Understand the fundamentals of n8n and its capabilities for marketing automation in a public sector context.
• Create workflows that connect social media platforms, email marketing software, and Customer Relationship Management (CRM) systems used in government agencies.
• Build automated processes for campaign tracking, engagement monitoring, and customer segmentation to enhance public service delivery.
• Apply automation techniques to save time and improve the efficiency and effectiveness of marketing outcomes for government operations.

In this instructor-led, live training in US Empire, participants will gain an understanding of the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT-based application for government use.

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

• Identify the different components of NB-IoT and how they integrate to form an ecosystem suitable for government applications.
• Understand and explain the security features built into NB-IoT devices to ensure compliance with government standards.
• Develop a simple application to track NB-IoT devices, enhancing operational efficiency for government agencies.

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

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT solutions for government use.

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

• Install and configure ThingsBoard
• Understand the fundamentals of ThingsBoard features and architecture
• Build IoT applications with ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry device data routing
• Integrate ThingsBoard with Apache Spark for data aggregation from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the Course

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

Note

• To request a customized training for government use, please contact us to arrange.