5G and IoT Training Course

This instructor-led, live training in Nigeria (online or onsite) is designed for intermediate-level telecom professionals, AI engineers, and IoT specialists eager to discover how 5G networks accelerate Edge AI applications.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of 5G technology and its influence on Edge AI.
• Deploy AI models optimized for low-latency applications within 5G environments.
• Implement real-time decision-making systems leveraging Edge AI and 5G connectivity.
• Optimize AI workloads to ensure efficient performance on edge devices.

This instructor-led, live training in Nigeria (online or onsite) is designed for business managers seeking essential insights to make informed decisions regarding 5G adoption. Rather than a technical deep-dive, this course focuses on the strategic thinking required to prepare for the 5G era. The technical and industry-specific content will be tailored to the audience's needs.

Upon completing this training, participants will be able to:

• Recognize the opportunities 5G presents to their organization.
• Identify the risks 5G poses to business and industry.
• Understand and differentiate the various technologies and standards underpinning 5G.
• Grasp the role 5G will play in advancing AI and IoT.
• Lead 5G initiatives that enhance customer service and operational efficiency.
• Develop a strategy for adopting 5G products and services within the organization and among external partners.

This instructor-led, live training in Nigeria (online or onsite) is aimed at intermediate-level professionals who wish to understand and evaluate the behavior, scope, and implementation of 5G networks in technical environments.

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

• Analyze the behavior of 5G networks in clustered environments.
• Understand the RF environment specific to 5G technology.
• Evaluate real-world cases of 5G implementation from other countries.
• Assess 5G coverage capabilities and limitations.
• Interpret and analyze 5G network quality parameters on a technical level.

This instructor-led live training in Nigeria (online or onsite) is aimed at engineers who wish to understand the architectural components that make up 5G so as to begin implementing their own solutions on top of this groundbreaking new network.

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

• Learn the fundamentals of 5G.
• Understand the 5G architecture and standards.
• Perform network function virtualization and network slicing.

5G represents the fifth generation of mobile network technology, delivering higher speeds, reduced latency, and more dependable connections for a diverse array of applications.

This instructor-led live training, available online or on-site, is designed for IT professionals and technical managers at an intermediate level who want to grasp the fundamentals, architecture, and business impact of 5G networks.

After completing this training, participants will acquire the knowledge and skills to:

• Grasp the core concepts and evolution of 5G technology.
• Identify the primary components and architecture of 5G networks.
• Appreciate the differences between 4G LTE and 5G regarding performance and design.
• Evaluate 5G use cases and applications across various industries.
• Assess 5G deployment strategies and regulatory considerations.

Course Format

• Interactive lectures and group discussions.
• Case studies and scenario-based exercises.
• Hands-on exploration of 5G network architecture through live demonstrations.

Customization Options

• Upon request, this course can be tailored to focus on specific industry applications or regional 5G deployment contexts.

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

This instructor-led live training, available online or onsite, targets advanced-level participants aiming to understand and leverage the emerging intersection of 6G technologies and IoT applications.

Upon completing this course, learners will be able 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.

Course Format

• 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.

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 reshaping business practices across numerous sectors, including the government sector. The rates of government data generation and digital archiving are climbing rapidly, driven by the proliferation of mobile devices and applications, smart sensors and gadgets, cloud computing solutions, and citizen-facing portals. As digital information expands and becomes increasingly complex, the management, processing, storage, security, and disposition of data also grow more intricate. New tools for capture, search, discovery, and analysis are enabling organizations to extract valuable insights from unstructured data. The government sector is at 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 objectives. As government leaders strive to evolve into data-driven organizations that successfully achieve 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 empowers the government to make superior decisions by acting on patterns revealed through the analysis of large volumes of data—whether related or unrelated, structured or unstructured.

However, achieving these results 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," 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 locate these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative allocated over $200 million to capitalize on the explosion of Big Data and the tools necessary to analyze it.

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

Effectively analyzing data is another major hurdle. Many agencies utilize commercial tools that allow them to sift through mountains 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 fulfilling mission objectives.)

Custom-developed Big Data tools are also enabling agencies to address their need to analyze data. For instance, 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 more routine tasks, such as sifting through resumes to connect job candidates with hiring managers.

This instructor-led, live training in Nigeria (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 Nigeria (available online or onsite) targets intermediate-level developers, system architects, and industry professionals who wish to enhance IoT applications with intelligent data processing and analytics capabilities using Edge AI.

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 Nigeria (online or onsite) is aimed at product managers and developers who wish to use Edge Computing to decentralise 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 platforms created to carry out specific tasks within larger mechanical or electrical systems. The Internet of Things (IoT) refers to a vast network of physical devices equipped with sensors and software, enabling them to connect and exchange data over the internet.

This live, instructor-led training, available online or at your workplace, is tailored for technical beginners who want to grasp and apply the principles of embedded systems and IoT using C programming and microcontroller architectures.

Upon completing this training, participants will be equipped to:

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

Course Format

• Engaging lectures and discussions.
• Extensive exercises and practical practice.
• Hands-on implementation in a live laboratory environment.

Course Customization Options

• For those interested in a customized version of this course, please reach out to us to make arrangements.

This instructor-led, live training in Nigeria (online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning to optimize IoT and edge computing solutions.

Upon completing this training, participants will be capable of:

• Grasping the principles and advantages of Federated Learning in IoT and edge computing.
• Deploying Federated Learning models on IoT devices to enable decentralized AI processing.
• Minimizing latency and enhancing real-time decision-making in edge computing settings.
• Tackling challenges associated with data privacy and network limitations in IoT systems.

The Internet of Things (IoT) is a network infrastructure that links physical objects and software applications wirelessly, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure provides a comprehensive suite of cloud services, including an IoT Suite that offers preconfigured solutions 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.

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

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

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 Nigeria, participants will explore the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT-based application.

Upon completing this training, participants will be able to:

• Identify the various components of NB-IoT and understand how they integrate to form an ecosystem.
• Understand and articulate the security features inherent in NB-IoT devices.
• Develop a simple application for tracking NB-IoT devices.

This instructor-led, live training (online or onsite) is aimed at beginner-level and intermediate-level telecom engineers and field professionals who wish to use structured deployment methodologies and industry best practices to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across operator and enterprise environments.

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

• Install and configure multi-vendor BTS systems (Huawei, ZTE, Ericsson) from 2G to 5G.
• Supervise site deployment activities and coordinate RF, transmission, power, civil, and core network teams during integration.
• Prepare telecom sites for ATP (Acceptance Test Procedure) and manage operator handover processes.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.