IoT Programming with Python Training Course

This training aims to clarify what the 5G network entails and its influence on smart technologies. We will explore both the benefits and drawbacks of the interplay between 5G and IoT, while also outlining the developmental trajectory of a network designed from the outset for the smart world.

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

This instructor-led, live training (online or onsite) is aimed at advanced-level participants who wish to understand and leverage the emerging intersection of 6G technologies and IoT applications.

By completing this course, learners will gain the ability to:

• Explain the core technical concepts behind 6G.
• Assess how 6G will reshape IoT device communication and architecture.
• Evaluate 6G-enabled IoT use cases across industries.
• Prepare 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 the government sector. The volume of data generated and digitized by governments is increasing rapidly, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing digital portals. As digital information expands and grows more complex, the management, processing, storage, security, and disposal of that information also become more challenging. Emerging tools for capture, search, discovery, and analysis are enabling organizations to derive valuable insights from unstructured data. The government sector is reaching a critical juncture, recognizing information as a strategic asset. To better serve citizens and fulfill mission requirements, governments must protect, leverage, and analyze both structured and unstructured data. As government leaders work to evolve their organizations into data-driven entities, they are establishing the foundation to correlate dependencies across events, personnel, processes, and information.

High-impact government solutions are being developed by integrating 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 empowers governments to make superior decisions by acting on patterns identified through the analysis of vast volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these outcomes requires more than just accumulating large amounts 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 wrote 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 allocated over $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 as formidable as its potential benefits are encouraging. Efficient data storage is one key challenge. With budgets remaining tight, agencies must minimize the cost per megabyte of storage while ensuring data remains easily accessible so users can retrieve it whenever and however they need it. Backing up these massive data volumes further intensifies the challenge.

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

Custom-developed Big Data tools are also enabling agencies to meet their data analysis needs. 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 helped medical researchers identify links that can alert doctors to aortic aneurysms before they occur. It is also used for routine tasks, such as sifting through resumes to match job candidates with hiring managers.

Insurtech (also known as Digital Insurance) represents the integration of insurance with emerging technologies. Within this sector, digital insurers leverage technological innovations to transform their business and operational models, aiming to lower costs, enhance customer experiences, and increase operational agility.

This instructor-led training empowers participants to understand the technologies, methods, and mindset required to drive digital transformation within their organizations and across the wider industry. The program is specifically designed for managers seeking a comprehensive overview, looking to cut through the hype and jargon, and to take initial steps toward establishing an Insurtech strategy.

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

• Discuss Insurtech and its various components with intelligence and systematic clarity
• Identify and demystify the role of key technologies within the Insurtech ecosystem
• Draft a general strategy for implementing Insurtech solutions within their organization

Audience

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

Format of the course

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

This instructor-led, live training session in Portugal (online or onsite) is designed for intermediate IT professionals and business managers who wish to explore the potential of IoT and edge computing to drive efficiency, real-time processing, and innovation across various industries.

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

• Grasping the core principles of IoT and edge computing and their significance in digital transformation.
• Recognising practical applications of IoT and edge computing within manufacturing, logistics, and energy sectors.
• Distinguishing between edge and cloud computing architectures as well as their respective deployment scenarios.
• Deploying edge computing solutions to support predictive maintenance and real-time decision-making.

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

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts and benefits of Edge Computing.
• Recognize use cases and examples suitable for Edge Computing implementation.
• Design and develop Edge Computing solutions to accelerate data processing and lower operational costs.

Embedded systems are specialized computing platforms designed to execute specific tasks within broader infrastructure. The Internet of Things (IoT) refers to a network of physical devices equipped with sensors and software, enabling them to communicate and exchange data via the internet.

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

Upon completion of 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.
• Operate microcontroller peripherals, including timers and ADCs.
• Understand the role embedded systems play within IoT architectures.

Course Format

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

Customization Options

• For tailored training on this course, please contact us to arrange your requirements.

This instructor-led, live training in Portugal (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 Portugal (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) represents an emerging technological field that wirelessly links physical objects with software applications for remote monitoring and control. Augmented Reality (AR) enhances the user experience by merging virtual, computer-generated elements with the physical surroundings. AR enables businesses to offer users real-time information within a real-world context. Both technologies are experiencing rapidly growing adoption rates across various industries.

During this instructor-led live training, participants will grasp the fundamentals of IoT and AR and apply this knowledge to their organizations' operations and strategies.

By the conclusion of this training, participants will be capable of:

• Comprehending the core principles of IoT and AR
• Learning how IoT and AR technologies function
• Understanding how IoT and AR technologies can be integrated into their business strategy
• Making informed business decisions regarding IoT and AR

Audience

• Managers
• Entrepreneurs

Course Format

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

Note

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

The Internet of Things (IoT) constitutes 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.

In this instructor-led live training, participants will grasp the fundamentals of IoT by guiding them through the creation of an IoT sensor system using the Raspberry Pi.

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

• Understanding IoT principles, including its components and communication techniques
• Setting up the Raspberry Pi specifically for IoT applications
• Building and deploying their own IoT Sensor System

Audience

• Hobbyists
• Hardware and software engineers and technicians
• Technical professionals across all industries
• Beginner developers

Format of the course

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

Note

• Raspberry Pi supports various operating systems and programming languages. This course utilises 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.

In this instructor-led live training in Portugal, participants will explore the various aspects of NB-IoT (also referred to 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 distinct components of NB-IoT and understand how they integrate to form an ecosystem.
• Understand and explain the security features embedded within NB-IoT devices.
• Develop a simple application for tracking NB-IoT devices.

The Raspberry Pi is a compact, single-board computer.

In this instructor-led live training, participants will acquire the skills to configure and program the Raspberry Pi to function as a robust and interactive embedded system.

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

• Configure an IDE (Integrated Development Environment) to maximise development productivity
• Program the Raspberry Pi to control devices such as motion sensors, alarms, web servers, and printers
• Comprehend the Raspberry Pi's architecture, including its inputs and connectors for add-on devices
• Navigate the various options available in programming languages and operating systems
• Test, debug, and deploy the Raspberry Pi to address real-world problems

Audience

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

Course Format

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

Note

• The Raspberry Pi supports a wide range of operating systems and programming languages. This course utilises the Linux-based Raspbian operating system and Python as the programming language. Should you require a specific setup, please contact us to make arrangements.
• Participants are responsible for procuring their own Raspberry Pi hardware and components.

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

During this instructor-led live training, participants will acquire the skills necessary to integrate ThingsBoard into their IoT solutions.

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

• Installing and configuring ThingsBoard
• Gaining a solid understanding of ThingsBoard’s features and architecture
• Developing IoT applications using ThingsBoard
• Integrating ThingsBoard with Kafka to route telemetry data from devices
• Integrating ThingsBoard with Apache Spark for data aggregation across multiple devices

Target Audience

• Software engineers
• Hardware engineers
• Developers

Course Format

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

Note

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