IoT Programming with Python Training Course

This training aims to clarify the nature of 5G networks and their influence on smart technologies. We will explore the advantages and disadvantages of the relationship between 5G and IoT, while highlighting the developmental trajectory of a network designed from its inception for the smart world.

Positioned to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing, and integrated AI capabilities, 6G represents the next-generation wireless communication standard.

This instructor-led live training, available both online and 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 core technical concepts underlying 6G.
• Evaluate how 6G will reshape 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

• Concept-focused lectures combined with expert discussion.
• Applied exercises designed to reinforce key engineering principles.
• Case-based exploration and scenario analysis in a guided environment.

Course Customization Options

• For tailored versions of this training aligned with your organizational technology roadmap, please contact us to arrange.

Technological advancements and the exponential growth of information are fundamentally reshaping business operations across various sectors, including government. The volume of government data generation and digital archiving is surging, driven by the rapid proliferation of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information becomes more expansive and complex, the management, processing, storage, security, and disposition of this data also become increasingly complicated. New tools for capturing, searching, discovering, and analyzing information are helping organizations extract valuable insights from unstructured data. The government sector is reaching a critical juncture, recognizing information as a strategic asset. Governments must now protect, leverage, and analyze both structured and unstructured information to better serve the public and meet mission requirements. As government leaders strive to evolve into data-driven organizations to successfully accomplish their missions, they are laying the groundwork to correlate dependencies across 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 serves as an intelligent industry solution that enables governments to make better decisions by taking action based on patterns revealed through the analysis of large volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these goals requires more than just accumulating massive quantities of data. "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," Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy noted in a post on the OSTP Blog.

The White House took a significant step toward helping agencies identify these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative included over $200 million to capitalize on the explosion of Big Data and the tools needed to analyze it.

The challenges posed by Big Data are nearly as daunting as its promise is encouraging. Efficient data storage is one of these challenges. With budgets always tight, agencies must minimize the cost per megabyte of storage while keeping data easily accessible so users can retrieve it whenever and however they need it. The challenge is heightened by the need to back up massive quantities of data.

Effectively analyzing data is another major challenge. Many agencies employ commercial tools that allow them to sift through mountains of data, spotting trends that help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives believe Big Data could help agencies save more than $500 billion while also fulfilling mission objectives).

Custom-developed Big Data tools are also enabling agencies to address their data analysis needs. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers identify links that can alert doctors to aortic aneurysms before they occur. It is also used for more routine tasks, such as sifting through resumes to connect job candidates with hiring managers.

Insurtech, also known as Digital Insurance, represents the intersection of insurance services and emerging technologies. Within this domain, 'digital insurers' leverage technological innovations to transform their business and operational models, aiming to lower costs, elevate customer experiences, and boost operational agility.

Through this instructor-led training, participants will acquire a comprehensive understanding of the technologies, methodologies, and mindsets required to drive digital transformation within their organizations and the broader industry. This program is specifically designed for managers who seek a holistic view, wish to cut through industry hype and jargon, and are ready to take initial steps toward establishing an effective Insurtech strategy.

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

• Discuss Insurtech and its various components with clarity and systematic insight
• Identify and demystify the role of each key technology driving Insurtech
• Develop a foundational strategy for implementing Insurtech within their respective organizations

Target Audience

• Insurance professionals
• Technology specialists within the insurance sector
• Key stakeholders in the insurance industry
• Consultants and business analysts

Course Format

• A blend of lectures, discussions, practical exercises, and group case study activities

This instructor-led live training in South Korea (online or onsite) is designed for 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 South Korea (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 South Korea (online or onsite) targets product managers and developers who seek to utilize Edge Computing for decentralized data management, thereby enhancing performance through smart devices located at the network source.

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

• Grasp the fundamental concepts and benefits associated with Edge Computing.
• Recognize specific use cases and practical examples applicable to Edge Computing.
• Design and implement Edge Computing solutions that enable accelerated data processing and lower operational expenses.

Embedded systems are specialized computing platforms engineered to execute specific tasks within larger operational frameworks. The Internet of Things (IoT) refers to a vast network of physical devices integrated with sensors and software, enabling them to connect, communicate, and share data via the internet.

This instructor-led live training, available either online or on-site, is designed for technical professionals at the beginner level who aim to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

Upon completing this training, participants will be capable of:

• Comprehending the architecture and constituent parts of embedded systems.
• Writing and compiling C code to facilitate hardware interaction.
• Operating microcontroller peripherals, such as timers and Analog-to-Digital Converters (ADCs).
• Understanding the role of embedded systems within IoT architectures.

Course Format

• Engaging lectures and group discussions.
• Extensive exercises and practical application.
• Practical implementation within a live laboratory environment.

Customization Options

• For customized training arrangements, please reach out to us.

This instructor-led, live training in South Korea (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 core principles and advantages of Federated Learning within IoT and edge computing contexts.
• Deploy Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Address challenges related to data privacy and network constraints in IoT systems.

This instructor-led, live training in South Korea (onsite or remote) is designed for 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 a rapidly evolving technology sector that enables wireless connectivity between physical devices and software applications for remote monitoring and control. Augmented Reality (AR) enhances user experience by overlaying virtual, computer-generated content onto the real-world environment. AR empowers businesses to deliver real-time, context-aware information directly within a user's physical surroundings. Both technologies are witnessing accelerated adoption across diverse industries.

Through this instructor-led live training, participants will gain a solid understanding of IoT and AR fundamentals and learn how to integrate these technologies into their organizational operations and strategic planning.

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

• Grasp the core concepts of IoT and AR
• Comprehend the operational mechanisms of IoT and AR technologies
• Identify opportunities to apply IoT and AR within business strategies
• Make data-driven decisions regarding the implementation of IoT and AR

Target Audience

• Managers
• Entrepreneurs

Course Format

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

Note

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

The Internet of Things (IoT) represents a network infrastructure that wirelessly links physical objects with software applications, enabling seamless communication and data exchange through network protocols, cloud computing, and data acquisition.

Through this instructor-led live training, participants will grasp the core concepts of IoT by practically building an IoT sensor system utilizing a Raspberry Pi.

Upon completing this training, participants will be capable of:

• Grasping IoT principles, including key components and communication methodologies
• Configuring the Raspberry Pi specifically for IoT use cases
• Developing and deploying a custom IoT Sensor System

Audience

• Hobbyists
• Hardware/software engineers and technicians
• Technical professionals across all sectors
• Novice developers

Course Format

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

Note

• The Raspberry Pi is compatible with various operating systems and programming languages. This course utilizes Linux-based Raspbian as the operating system and Python as the programming language. For specific setup requirements, please contact us to arrange accordingly.
• Participants are required to purchase their own Raspberry Pi hardware and necessary components.

In this instructor-led live training in South Korea, participants will explore the various aspects of NB-IoT (also known as LTE Cat NB1) while developing and deploying 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 they 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 configure and program the Raspberry Pi to function as an interactive and powerful embedded system.

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

• Set up an IDE (integrated development environment) to maximize development productivity.
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers.
• Understand the Raspberry Pi's architecture, including inputs and connectors for add-on devices.
• Explore the 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 across all industries.
• Hobbyists.

Format of the course

• A combination of lectures, discussions, exercises, and intensive 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 capabilities for your IoT solutions.

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

Upon completing this training, participants will be able to:

• Install and configure ThingsBoard
• Grasp the core concepts of ThingsBoard features and architecture
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka to route telemetry data from devices
• Integrate ThingsBoard with Apache Spark to aggregate data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Course Format

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

Note

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