5G and IoT Training Course

This instructor-led, live training in Portugal (online or onsite) targets intermediate-level telecom professionals, AI engineers, and IoT specialists keen to explore how 5G networks accelerate Edge AI applications.

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

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

This instructor-led, live training in Portugal (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 arrival of 5G. The technical and industry coverage will be tailored to suit the specific audience.

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

• Recognise the opportunities 5G presents to their organisation.
• Identify the risks 5G poses to business and industry.
• Comprehend and differentiate the various technologies and standards that underpin 5G.
• Understand the role 5G will play in the continued development of AI and IoT.
• Lead 5G initiatives aimed at enhancing customer service and operational efficiency.
• Develop a strategy for adopting 5G products and services within their organisation and across external partner organisations.

This instructor-led live training in Portugal (online or on-site) is designed for intermediate-level professionals seeking to understand and evaluate the behaviour, scope, and deployment of 5G networks in technical environments.

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

• Analyse the behaviour 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 analyse 5G network quality parameters on a technical level.

This instructor-led live training in Portugal (online or onsite) is designed for engineers who want to understand the architectural elements of 5G to start building their own solutions on this pioneering network.

By the conclusion 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 faster data rates, reduced latency, and enhanced reliability for a diverse array of applications.

This instructor-led live training (available online or onsite) is designed for intermediate-level IT professionals and technical managers seeking to comprehend the fundamentals, architecture, and business impact of 5G networks.

Upon completing this training, participants will be equipped with the knowledge and skills to:

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

Course Format

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

Course Customization Options

• This course can be customized to focus on specific industry applications or regional 5G deployment contexts, upon request.

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.

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.

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.

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.

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.