Introduction to IoT Using Raspberry Pi Training Course

This training aims to explain what the 5G network is and its impact on smart technologies. It will highlight both the advantages and disadvantages of the relationship between these technologies (5G/IoT) and outline the development directions of the network, which has been dedicated to the smart world from the outset.

6G represents the upcoming generation of wireless communication standards, poised to revolutionize IoT ecosystems with ultra-high-speed connectivity, sophisticated sensing capabilities, and seamless AI integration.

This instructor-led live training (available online or onsite) targets advanced participants seeking to understand and capitalize on the convergence of 6G technologies and IoT applications.

Upon completing this course, learners will be able to:

• Articulate the fundamental technical concepts underlying 6G.
• Analyze how 6G will transform IoT device communication and system architecture.
• Evaluate 6G-enabled IoT use cases across various industries.
• Develop strategies for incorporating 6G capabilities into current IoT solutions.

Course Format

• Concept-driven lectures paired with expert-led discussions.
• Practical exercises designed to reinforce key engineering principles.
• Guided case studies and scenario analysis.

Customization Options

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

Advances in technology and the escalating volume of information are reshaping business operations across numerous industries, including the public sector. The rate at which governments generate data and archive digital records is accelerating, driven by the rapid proliferation of mobile devices and applications, smart sensors and devices, cloud computing solutions, and citizen-facing portals. As digital information expands and grows more complex, the management, processing, storage, security, and disposition of that data become increasingly intricate. New tools for capture, search, discovery, and analysis are enabling organizations to derive insights from unstructured data. The government sector is reaching a critical juncture, recognizing that information is a strategic asset. To better serve the public and meet mission requirements, governments must protect, leverage, and analyze both structured and unstructured information. As government leaders strive to evolve into data-driven organizations capable of successfully accomplishing 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 represents an intelligent industry solution that enables government entities to make better decisions by taking action based on patterns revealed through the analysis of large volumes of data—both related and unrelated, structured and unstructured.

However, achieving these outcomes requires far more than simply 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," 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 took a significant step toward assisting agencies in identifying these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative included more than $200 million to maximize the potential of the Big Data explosion and the tools required to analyze it.

The challenges posed by Big Data are nearly as daunting as its promise is encouraging. Efficient data storage is one such challenge. As always, budgets are tight, so agencies must minimize the per-megabyte cost of storage and keep data easily accessible, ensuring users can retrieve it when and how they need it. Backing up massive quantities of data further heightens this challenge.

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

Custom-developed Big Data tools are also allowing agencies to address the need to analyze 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. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. 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. Digital insurers leverage technological innovations within their business and operational models to lower costs, enhance customer experiences, and increase operational agility.

This instructor-led training helps participants understand the technologies, methodologies, and mindsets required to drive digital transformation within their organizations and across the industry. The program is designed for managers seeking a comprehensive overview, aiming to cut through the hype and jargon while taking initial steps toward formulating an Insurtech strategy.

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

• Discussing Insurtech and its core components in an intelligent and systematic manner
• Identifying and clarifying the role of key technologies within the Insurtech landscape
• Drafting a general strategy for implementing Insurtech within their organization

Target Audience

• Insurance companies
• Technology professionals within the insurance sector
• Stakeholders in the insurance industry
• Consultants and business analysts

Course Format

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

This instructor-led, live training in Brazil (online or onsite) is designed for intermediate-level IT professionals and business managers who wish 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:

• Grasp the core principles of IoT and edge computing and their significance in digital transformation.
• Recognize key use cases for IoT and edge computing within manufacturing, logistics, and energy sectors.
• Distinguish between edge and cloud computing architectures and their respective deployment scenarios.
• Deploy edge computing solutions for predictive maintenance and real-time decision-making.

This instructor-led, live training in Brazil (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 Brazil (online or onsite) is designed for product managers and developers who aim to use Edge Computing to decentralize data management for improved performance by leveraging smart devices located on the source network.

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

• Gaining a solid understanding of the fundamental concepts and benefits of Edge Computing.
• Identifying practical use cases and examples where Edge Computing is applicable.
• Designing and implementing Edge Computing solutions to accelerate data processing and lower operational expenses.

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

This instructor-led live training, available online or on-site, targets technical professionals at the beginner level who want to grasp and apply the concepts of embedded systems and IoT using C programming and microcontroller architectures.

Upon completing this training, participants will be able to:

• Comprehend the architecture and components of embedded systems.
• Write and compile C code to facilitate interaction with embedded hardware.
• Utilize microcontroller peripherals, including timers and Analog-to-Digital Converters (ADCs).
• Understand the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation within a live laboratory environment.

Customization Options for the Course

• For tailored training arrangements, please contact us.

This instructor-led, live training in Brazil (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 Brazil (onsite or remote) is designed for engineers who wish to set up, deploy, and manage secure IoT applications.

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) represents an emerging technological domain that wirelessly links physical devices with software applications to enable remote monitoring and control. Augmented Reality (AR) enhances the user experience by integrating virtual, computer-generated elements into the physical environment, allowing businesses to deliver real-time information within the context of the real world. Both technologies are experiencing rapid adoption across various industries.

This instructor-led live training allows participants to grasp the fundamentals of IoT and AR and apply these insights to their organization's operations and strategic planning.

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

• Comprehend the core principles of IoT and AR
• Understand the mechanics behind IoT and AR technologies
• Identify how IoT and AR can be integrated into business strategy
• Make well-informed business decisions regarding IoT and AR

Audience

• Managers
• Entrepreneurs

Course Format

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

Note

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

The Internet of Things (IoT) represents a network infrastructure that wirelessly links physical objects with software applications, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Python is a high-level programming language highly recommended for IoT development due to its clear syntax and robust community support.

In this instructor-led live training, participants will learn how to program IoT solutions using Python.

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

• Grasp the fundamentals of IoT architecture
• Learn the basics of using Raspberry Pi
• Install and configure Python on Raspberry Pi
• Understand the benefits of using Python for programming IoT systems
• Build, test, deploy, and troubleshoot an IoT system using Python and Raspberry Pi

Audience

• Developers
• Engineers

Format of the course

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

Note

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

In this instructor-led live training in Brazil, 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.

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

• Identify the different components of NB-IoT and understand how they integrate to form an ecosystem.
• Understand and explain the security features built into NB-IoT devices.
• Develop a simple application to track NB-IoT devices.

The 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 robust embedded system.

Upon completing this training, participants will be able to:

• Configure an IDE (integrated development environment) to maximize development efficiency
• Program the Raspberry Pi to manage devices such as motion sensors, alarms, web servers, and printers
• Grasp the Raspberry Pi's architecture, including input and connector options for add-on devices
• Explore the available programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to address real-world challenges

Audience

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

Course Format

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

Note

• The Raspberry Pi supports a variety of operating systems and programming languages. This course utilizes the Linux-based Raspbian operating system and Python as the programming language. If you require a specific setup, please contact us to arrange it.
• Participants are responsible for purchasing their own 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 solutions.

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

• Install and configure ThingsBoard
• Understand the fundamental features and architecture of ThingsBoard
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry device data routing
• Integrate ThingsBoard with Apache Spark for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the course

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

Note

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