Internet of Things (IoT) Training in Västra Götaland

This instructor-led, live training in Västra Götaland (online or onsite) is designed for advanced IoT developers and smart home enthusiasts who want to automate IoT processes and create innovative solutions using n8n.

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

• Install and configure n8n for IoT workflow automation.
• Connect IoT devices and platforms using n8n nodes and connectors.
• Develop custom workflows to automate IoT tasks and processes.
• Utilize IoT protocols such as MQTT and REST APIs within n8n workflows.
• Monitor, troubleshoot, and optimize IoT automation workflows.

6G represents the next generation of wireless communication standards, poised to revolutionize IoT ecosystems through ultra-high-speed connectivity, advanced sensing technologies, and integrated AI capabilities.

This instructor-led live training (available online or onsite) is designed for advanced participants seeking to understand and harness the emerging convergence of 6G technologies and IoT applications.

Upon completing this course, learners will be able to:

• Articulate the fundamental technical principles underlying 6G.
• Evaluate how 6G will transform IoT device communication and architecture.
• Assess 6G-enabled IoT use cases across various industries.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-driven lectures complemented by expert-led discussions.
• Practical exercises designed to reinforce key engineering principles.
• Guided exploration of case studies and scenario analysis.

Customization Options

• For customized versions of this training aligned with your organization’s technology roadmap, please contact us to arrange.

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

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

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

This instructor-led, live training in Västra Götaland (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 Västra Götaland (online or onsite) targets intermediate-level IoT developers, embedded engineers, and AI practitioners who wish to implement TinyML for predictive maintenance, anomaly detection, and smart sensor applications.

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

• Grasp the core principles of TinyML and its role in IoT ecosystems.
• Establish a TinyML development environment tailored for IoT projects.
• Create and deploy ML models on low-power microcontrollers.
• Apply TinyML to achieve predictive maintenance and anomaly detection.
• Optimize TinyML models to ensure efficient power and memory utilization.

This instructor-led live training in Västra Götaland (online or onsite) is designed for intermediate 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:

• Comprehend 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.

Embedded systems are specialized computing environments engineered to execute specific tasks within broader apparatuses. The Internet of Things (IoT) represents a vast network of connected physical devices, equipped with sensors and software, enabling them to communicate and exchange information via the internet.

This instructor-led live training (available online or on-site) targets technical professionals at the beginner level who seek to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

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

• Comprehending the structure and constituent parts of embedded systems.
• Writing and compiling C code to facilitate interaction with embedded hardware.
• Utilizing microcontroller peripherals, including timers and ADCs.
• Grasping the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• Practical implementation in a live laboratory environment.

Customization Options for the Course

• For requests regarding customized training for this course, please get in touch with us to make arrangements.

This training aims to clarify what 5G networks are and how they influence smart technologies. We will explore both the benefits and limitations of the synergy between 5G and IoT, while outlining the developmental trajectory of a network designed from the outset for the smart world.

Technological advancements and the exponential growth of data are reshaping business operations across numerous sectors, including government. The volume of data generated and archived digitally by government entities is surging, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands and grows more complex, the challenges associated with its management, processing, storage, security, and disposition intensify. New tools for capturing, searching, discovering, and analyzing data are enabling organizations to extract valuable insights from unstructured information. The government sector is at a critical juncture, recognizing information as a strategic asset. Governments must now protect, leverage, and analyze both structured and unstructured data to better fulfill mission requirements. As leaders work to evolve data-driven organizations, they are establishing the framework to correlate dependencies among events, people, processes, and information.

High-impact government solutions are emerging from the integration of disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data serves as an intelligent industry solution, empowering governments to make superior decisions by acting on patterns revealed through the analysis of vast volumes of data—both related and unrelated, structured and unstructured.

However, achieving these outcomes requires more than merely accumulating large datasets. "Making sense of these volumes of Big Data requires cutting-edge tools and technologies that can analyze and extract useful knowledge from vast and diverse streams of information," noted Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House advanced this effort by launching the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to capitalize on the Big Data explosion and the tools necessary to analyze it.

The challenges posed by Big Data are as formidable as its potential is promising. Efficient data storage is a primary concern. With budgets often constrained, agencies must minimize the cost per megabyte of storage while ensuring data remains easily accessible for users when and how they need it. Backing up massive data volumes further complicates this challenge.

Effective data analysis presents another major hurdle. Many agencies utilize commercial tools to sift through vast data sets, identifying trends that enhance operational efficiency. (A recent MeriTalk study indicated that federal IT executives believe Big Data could help agencies save over $500 billion while meeting mission objectives).

Custom-developed Big Data tools are also enabling agencies to meet their analytical needs. For instance, Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has assisted medical researchers in identifying links that can alert doctors to aortic aneurysms before they occur. It is also applied to routine tasks, such as screening resumes to match candidates with hiring managers.

In this instructor-led, live training in Västra Götaland, participants will learn how to optimize Nginx's performance while setting up, configuring, monitoring, and troubleshooting it to handle various types of HTTP and TCP traffic. The curriculum covers configuring essential Nginx parameters, as well as the operating system and virtual machine environments, to fully leverage the capabilities of Nginx.