IoT Programming with Python Training Course

The aim of the training is to explain what the 5G network is and what impact it has on smart technologies. I want to show you both the advantages and disadvantages of these technological relationships (5G / IoT) and show you the directions of development of the network, which - from the very beginning - was dedicated to the smart world.

6G is the upcoming wireless communication standard set to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing, and integrated AI capabilities.

This instructor-led, live training (online or on-site) is designed for advanced-level participants who want to understand and leverage the emerging convergence of 6G technologies and IoT applications.

By completing this course, learners will be able to:

• Explain the fundamental technical concepts behind 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.

Format of the Course

• Lectures focused on key concepts, complemented by expert discussions.
• Practical exercises designed to reinforce essential engineering principles.
• Case studies and scenario analyses conducted in a guided learning environment.

Course Customization Options

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

Advances in technology and the growing volume of information are reshaping business practices across various sectors, including government. The rapid expansion of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals has led to a significant increase in data generation and digital archiving by government entities. As the amount and complexity of digital information grow, the challenges related to managing, processing, storing, securing, and disposing of this data also become more intricate. New tools for capturing, searching, discovering, and analyzing unstructured data are enabling organizations to derive valuable insights. The government sector is at a critical juncture, recognizing that information is a strategic asset and that it must protect, leverage, and analyze both structured and unstructured data to better serve its mission requirements. Government leaders are working to transform their organizations into data-driven entities, laying the foundation to understand the interdependencies among events, people, processes, and information.

High-value government solutions will emerge from a combination of the most disruptive technologies:

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

Big Data is one of the intelligent industry solutions that enable government to make better decisions by acting on patterns revealed through the analysis of large volumes of data—whether structured or unstructured, related or unrelated.

Achieving these goals requires more than just amassing vast amounts of data. "To make sense of these large volumes of Big Data, cutting-edge tools and technologies are necessary to analyze and extract useful insights from diverse streams of information," according to 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 took a significant step to help agencies find these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to capitalize on the surge in Big Data and the tools needed for its analysis.

The challenges posed by Big Data are as formidable as its potential is promising. Efficient data storage is one of these challenges. Given tight budgets, agencies must minimize the cost per megabyte of storage while ensuring easy access to the data so that users can retrieve it quickly and in the format they need. Backing up large volumes of data further complicates this challenge.

Effective data analysis is another major hurdle. Many agencies use commercial tools to sift through vast amounts of data, identifying trends that can enhance operational efficiency. A recent study by MeriTalk found that federal IT executives believe Big Data could help agencies save more than $500 billion while also achieving their mission objectives.

Custom-developed Big Data tools are also assisting agencies in analyzing their data. For instance, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has aided medical researchers in discovering a link that can alert doctors to aortic aneurysms before they occur. It is also used for more routine tasks, such as screening resumes to connect job candidates with hiring managers.

Insurtech, also known as Digital Insurance, represents the integration of insurance with cutting-edge technologies. In this field, "digital insurers" leverage technological innovations to optimize their business and operational models, aiming to reduce costs, enhance customer experiences, and increase operational agility.

This instructor-led training is designed to provide participants with a comprehensive understanding of the technologies, methods, and mindset required for digital transformation within their organizations and across the industry. The course is specifically targeted at managers who need to grasp the broader picture, demystify the hype and technical jargon, and take initial steps in formulating an Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and a systematic approach.
• Identify and clarify the role of each key technology within Insurtech.
• Develop a general strategy for implementing Insurtech within their organization.

Audience

• Insurers
• Technologists in the insurance sector
• Insurance stakeholders
• Consultants and business analysts

Format of the course

• A combination of lectures, discussions, exercises, and group activities based on case studies.

This instructor-led, live training in Norway (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.

This instructor-led, live training in Norway (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 Norway (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.

Embedded systems are specialized computing systems designed to perform specific functions within larger systems. IoT (Internet of Things) is a network of interconnected physical devices equipped with sensors and software that communicate and exchange data over the internet.

This instructor-led, live training (online or onsite) is aimed at beginner-level technical professionals who wish to understand and apply embedded systems and IoT concepts using C and microcontroller architectures.

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

• Comprehend the architecture and components of embedded systems.
• Write and compile C code for interacting with embedded hardware.
• Work with microcontroller peripherals such as timers and ADCs.
• Understand how embedded systems integrate into IoT architectures.

Format of the Course

• Interactive lecture and discussion.
• Numerous exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Norway (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 in Norway (onsite or remote) is aimed at engineers who wish to set up, deploy and manage a secure IoT application.

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

• Develop and deploy applications to manage IoT devices securely.
• Securely integrate IoT devices to the Cloud.
• Integrate an IoT application with existing infrastructure.

The Internet of Things (IoT) is an emerging technology domain that connects physical objects and software applications wirelessly, enabling remote sensing and control. Augmented Reality (AR) enhances user experience by integrating virtual, computer-generated elements with the real-world environment, providing users with a dynamic and interactive view of information. These technologies are rapidly gaining traction across various industries.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of IoT and AR and learn how to apply these concepts to their organizations' operations and strategies.

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

• Grasp the core principles of IoT and AR
• Understand how IoT and AR technologies function
• Explore the potential applications of IoT and AR in their business strategies
• Make well-informed business decisions regarding IoT and AR

Audience

• Managers
• Entrepreneurs

Format of the course

• A combination of lectures, discussions, practical exercises, and extensive hands-on practice

Note

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

The Internet of Things (IoT) is a network infrastructure that connects physical objects and software applications wirelessly, enabling them to communicate with each other and exchange data through network communications, cloud computing, and data capture.

In this instructor-led, live training, participants will gain an understanding of the fundamentals of IoT as they work through the process of creating an IoT sensor system using the Raspberry Pi.

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

• Grasp the principles of IoT, including its components and communication techniques
• Learn how to configure the Raspberry Pi for IoT applications
• Design and deploy their own IoT Sensor System

Audience

• Hobbyists
• Hardware and software engineers and technicians
• Technical professionals in various industries
• Beginner developers

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• The Raspberry Pi supports multiple operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. If you require a different setup, please contact us to arrange.
• Participants are responsible for purchasing the necessary Raspberry Pi hardware and components.

In this instructor-led, live training in Norway, 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.

Raspberry Pi is a compact, single-board computer.

In this instructor-led, live training, participants will learn how to set up and program the Raspberry Pi to function as an interactive and powerful embedded system.

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

• Set up an integrated development environment (IDE) for optimal productivity
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers.
• Understand the architecture of the Raspberry Pi, including its inputs and connectors for add-on devices.
• Explore various options in programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to solve real-world problems

Audience

• Developers
• Hardware/software technicians
• Technical professionals in all industries
• Hobbyists

Format of the course

• A combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• Raspberry Pi supports various operating systems and programming languages. This course will use Linux-based Raspbian as the operating system and Python as the programming language. To request a specific setup, please contact us to arrange.
• Participants are responsible for purchasing the Raspberry Pi hardware and components.

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

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

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

• Install and configure ThingsBoard
• Understand the core features and architecture of ThingsBoard
• Build IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for 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, exercises, and extensive hands-on practice

Note

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