Machine-to-Machine (M2M) Training Course

This training aims to clarify what the 5G network is and its influence on smart technologies. It explores both the benefits and drawbacks of the 5G/IoT technological synergy, while highlighting the development trajectory of a network designed from the outset for the smart ecosystem.

6G represents the forthcoming generation of wireless communication standards, poised to revolutionize IoT ecosystems by delivering ultra-high-speed connectivity, sophisticated sensing capabilities, and deeply integrated artificial intelligence.

This instructor-led live training, available both online and on-site, targets advanced participants eager to comprehend and utilize the emerging convergence of 6G technologies and IoT applications.

Upon completing this course, learners will be equipped to:

• Articulate the fundamental technical principles underpinning 6G.
• Analyze how 6G will transform the communication protocols and architectural design of IoT devices.
• Evaluate 6G-enabled IoT use cases across various industry sectors.
• 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 core engineering concepts.
• Guided exploration of case studies and scenario analysis.

Customization Options

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

Technological advancements and the exponential growth of information are fundamentally changing how businesses operate across various sectors, including government. The volume of government data generation and digital archiving is accelerating due to the widespread adoption of mobile devices and applications, smart sensors, cloud computing solutions, and public-facing digital portals. As digital information becomes more voluminous and complex, managing, processing, storing, securing, and disposing of this data presents greater challenges. Emerging 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 that information is a strategic asset. Governments must protect, leverage, and analyze both structured and unstructured data to better fulfill their missions and serve the public. As government leaders work to transform their organizations into data-driven entities, they are establishing the foundation to connect dependencies across events, personnel, processes, and information.

High-impact government solutions will emerge from the integration of several transformative 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 agencies to make better decisions by acting on patterns identified through the analysis of vast amounts of data—both related and unrelated, structured and unstructured.

However, achieving this requires more than just accumulating large volumes 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," wrote 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 helping agencies identify these technologies by launching 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 necessary to analyze it.

The challenges posed by Big Data are nearly as formidable as its promise is promising. One such challenge is storing data efficiently. With budgets remaining tight, agencies must minimize the cost per megabyte of storage while ensuring data remains easily accessible so users can retrieve it efficiently when and how they need it. Backing up massive amounts of data further complicates this challenge.

Effective data analysis is another major hurdle. Many agencies utilize commercial tools to sift through vast data sets, identifying trends that enhance operational efficiency. (A recent MeriTalk study revealed 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 analysis needs. For instance, the Computational Data Analytics Group at Oak Ridge National Laboratory 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 matching job candidates with hiring managers by sifting through resumes.

Insurtech, also known as Digital Insurance, represents the intersection of insurance services and emerging technologies. Within the Insurtech landscape, digital insurers leverage technological innovations to refine their business and operational models, aiming to cut costs, elevate the customer experience, and increase operational agility.

This instructor-led training helps participants understand the technologies, methods, and mindset required to drive digital transformation within their organizations and across the broader industry. The program is designed for managers who seek a comprehensive overview, wish to cut through the hype and jargon, and want 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 intelligence and systematic clarity
• Identify and clarify the role of key technologies within Insurtech
• Draft a general strategy for implementing Insurtech within their organization

Target Audience

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

Course Format

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

This instructor-led, live training in Mexico (online or onsite) is tailored for intermediate IT professionals and business managers who want to explore the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and foster 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 Mexico (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 Mexico (online or onsite) is designed for product managers and developers who wish to utilize Edge Computing to decentralize data management, thereby enhancing performance by leveraging smart devices located on the source network.

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

• Grasp the fundamental concepts and benefits of Edge Computing.
• Identify practical use cases and examples where Edge Computing can be effectively applied.
• Design and implement Edge Computing solutions to accelerate data processing and minimize operational costs.

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

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

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

• Comprehending the architecture and components of embedded systems.
• Writing and compiling C code to interact with embedded hardware.
• Utilizing microcontroller peripherals, such as timers and ADCs.
• Understanding the role of embedded systems within IoT architectures.

Course Format

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

Customization Options for the Course

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

This instructor-led, live training in Mexico (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 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 capabilities in edge computing environments.
• Address challenges associated with data privacy and network limitations in IoT systems.

This instructor-led, live training in Mexico (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 domain that wirelessly connects physical objects with software applications to enable remote sensing and control. Meanwhile, Augmented Reality (AR) enhances the user experience by overlaying virtual, computer-generated elements onto the physical real-world environment. AR empowers businesses to present users with real-time, real-world contextual information. Both technologies are experiencing rapidly growing adoption rates across various industries.

During this instructor-led live training, participants will master the core principles of IoT and AR and learn how to apply these insights to their organization's operations and strategic initiatives.

Upon completing this training, participants will be able to:

• Grasp the fundamental concepts of IoT and AR
• Comprehend the underlying mechanics of IoT and AR technologies
• Identify how IoT and AR technologies can be integrated into business strategy
• Make informed business decisions regarding IoT and AR implementation

Target Audience

• Managers
• Entrepreneurs

Course Format

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

Note

• For inquiries about customized training for this course, please contact us to arrange a session.

In this instructor-led live training in Mexico, participants will learn the fundamentals of IoT as they step through the creation of an Arduino-based IoT sensor system.

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

• Understand the principles of IoT, including IoT components and communication techniques.
• Learn how to use Arduino communication modules that can be used for different IoT systems.
• Learn how to use and program a mobile app to control Arduino.
• Use a Wi-Fi module to connect the Arduino to another device.
• Build and deploy their own IoT Sensor System.

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. Azure provides a comprehensive suite of cloud services that includes an IoT Suite featuring preconfigured solutions designed to help developers accelerate the creation of IoT projects.

In this instructor-led live training, participants will learn how to develop IoT applications using Azure.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of IoT architecture
• Install and configure the Azure IoT Suite
• Understand the advantages of using Azure for programming IoT systems
• Implement various Azure IoT services (such as IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, and IoT Device Management)
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

Course Format

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

Note

• For a customized training version of this course, please contact us to make arrangements.

In this instructor-led live training in Mexico, participants will explore 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 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.

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 completion of this training, participants will be able to:

• Install and configure ThingsBoard
• Grasp the fundamentals 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 for aggregating data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

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 it.