6G and IoT Training Course

The objective of this training is to elucidate the nature of 5G networks and their influence on smart technologies. We aim to demonstrate the pros and cons of the relationship between these technologies (5G and IoT) and outline the development trajectory of a network designed from its inception for the smart world.

This forward-looking course examines how 6G wireless technologies integrate with edge computing, IoT ecosystems, and AI-driven data processing to build intelligent, low-latency, and adaptive infrastructures.

Designed for intermediate-level IT architects, this instructor-led live training (available online or onsite) helps participants understand and design next-generation distributed architectures by leveraging the synergy between 6G connectivity and intelligent edge systems.

After completing this course, participants will be able to:

• Grasp how 6G will transform edge computing and IoT architectures.
• Design distributed systems capable of ultra-low latency, high bandwidth, and autonomous operations.
• Integrate AI and data analytics at the edge to enable intelligent decision-making.
• Plan scalable, secure, and resilient infrastructures ready for 6G.
• Evaluate business and operational models enabled by the convergence of 6G and edge technologies.

Course Format

• Interactive lectures and discussions.
• Case studies and applied architecture design exercises.
• Hands-on simulation using optional edge or container tools.

Customization Options

• For customized training options for this course, please contact us to arrange.

6G-Ready Infrastructure and Network Design is a specialized training program focused on preparing existing telecom and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering practices. It covers transport and fronthaul evolution, cloud-native and open RAN approaches, edge and distributed compute, timing and synchronization, spectrum and RF readiness, automation and AI-native operations, and practical migration strategies for operators and enterprises.

This instructor-led, live training (online or onsite) is aimed at intermediate-level telecom engineers and network architects who wish to design, optimize, and evolve their current 4G/5G infrastructure to meet 6G performance, scalability, and reliability requirements.

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

• Assess current network infrastructure gaps and readiness for 6G evolution.
• Design transport and fronthaul/backhaul architectures suitable for ultra-low latency and high throughput.
• Apply cloud-native principles, vRAN/O-RAN integration, and edge compute placement for 6G use cases.
• Plan timing, synchronization, and RF upgrades required for mmWave/THz and dense deployments.
• Define testing, validation, and operational monitoring strategies to ensure performance and reliability.
• Develop a phased migration and investment roadmap aligned with business priorities and risk management.

Format of the Course

• Technical lectures and architecture deep dives.
• Case studies and design workshops.
• Hands-on labs with simulation and verification tools.

Course Customization Options

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

This instructor-led, live training, offered either online or onsite, is tailored for executive-level participants who aim to understand the global 6G landscape, assess its business potential, and plan for early strategic investments.

Upon completing this course, participants will acquire the insights necessary to:

• Recognize emerging market trends and global initiatives shaping the 6G ecosystem.
• Gain an understanding of regulatory frameworks and spectrum allocation timelines associated with IMT-2030.
• Assess the changing vendor landscape and technology readiness levels.
• Formulate a roadmap for early investment, research collaborations, and pilot initiatives.

AI and Digital Twins in 6G Networks is an advanced, specialized course that explores how digital twin technology and AI-native optimization converge to model, simulate, and operate next-generation 6G infrastructures.

This instructor-led, live training (online or onsite) is aimed at advanced-level professionals who wish to apply digital twin methodologies and AI techniques to design, validate, and optimize 6G network behavior in realistic, reproducible environments.

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

• Explain the role and architecture of digital twins in the lifecycle of 6G networks.
• Build and configure digital twin models for RAN, transport, and edge compute components.
• Apply AI/ML methods for closed-loop optimization, anomaly detection, and predictive maintenance of network elements.
• Integrate real-time telemetry and simulation data to enable model-driven orchestration and intent-based control.
• Design validation and verification workflows using co-simulation, emulation, and digital twin testbeds.

Format of the Course

• Technical lectures and architecture deep-dives.
• Hands-on labs with simulators, twin models, and ML toolchains.
• Case study walkthroughs and a practical mini-project integration exercise.

Course Customization Options

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

Technological advancements and the exponential growth of information are reshaping business operations across various sectors, including the government sector. Government data generation and digital archiving are accelerating due to the surge in mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands and grows in complexity, managing, processing, storing, securing, and disposing of this data becomes increasingly challenging. New tools for capturing, searching, discovering, and analyzing data are enabling organizations to extract valuable insights from unstructured data. 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 information to better serve the public and meet mission objectives. As government leaders strive to evolve into data-driven organizations to successfully accomplish their missions, they are establishing the foundation to correlate dependencies across events, people, processes, and information.

High-impact government solutions will emerge from integrating the most disruptive technologies:

• Mobile devices and applications
• Cloud services
• Social business technologies and networking
• Big Data and analytics

Big Data represents a key intelligent industry solution, enabling governments to make better decisions by acting on patterns revealed through the analysis of large volumes of data—both related and unrelated, structured and unstructured.

However, achieving these goals requires more than just accumulating massive 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," wrote Tom Kalil and Fen Zhao from the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House took steps to assist agencies in finding 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 nearly as daunting as the promise it holds is encouraging. Efficiently storing data is one such challenge. With budgets always tight, agencies must minimize the per-megabyte cost of storage while ensuring data remains 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 challenge. Many agencies use commercial tools to sift through vast amounts of data, identifying trends that help them operate more efficiently. A recent MeriTalk study 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 enabling agencies to address 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 screening resumes to connect job candidates with hiring managers.

Insurtech (also known as Digital Insurance) signifies the intersection of insurance and emerging technologies. In the Insurtech landscape, "digital insurers" leverage technological innovations to reshape their business and operational models. The goal is to lower costs, elevate the customer experience, and increase operational agility.

This instructor-led training empowers participants to grasp the technologies, methodologies, and mindset required to drive digital transformation within their organizations and across the industry. The course is specifically designed for managers seeking a comprehensive overview, aiming to cut through the hype and jargon, and initiate the development of an effective Insurtech strategy.

Upon completing this training, participants will be able to:

• Discuss Insurtech and its core components with clarity and systematic understanding
• Identify and clarify the role of key technologies driving Insurtech
• Draft a foundational strategy for implementing Insurtech within their organization

Audience

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

Course Format

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

This instructor-led, live training in Malaysia (online or onsite) targets 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:

• 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 Malaysia (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals looking to utilise Edge AI to enhance IoT applications with intelligent data processing and analytics capabilities.

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

• Grasp 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 Malaysia (online or onsite) is tailored for product managers and developers who intend to utilise Edge Computing to decentralise data management, enhancing performance by leveraging smart devices at the network source.

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

• Understand the core concepts and advantages of Edge Computing.
• Identify 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 solutions engineered to carry out specific tasks within broader operational environments. The Internet of Things (IoT) refers to a vast network of physical devices integrated with sensors and software, enabling them to connect and share data across the internet.

This instructor-led training session, available both online and on-site, is designed for technical professionals at the beginner level who aim to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

Upon completing this training, participants will be equipped to:

• Comprehend the architecture and key components of embedded systems.
• Develop and compile C code to facilitate interaction with embedded hardware.
• Utilize microcontroller peripherals, including 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 within a live laboratory environment.

Customization Options

• For those interested in a tailored training experience, please reach out to us to make arrangements.

This instructor-led, live training in Malaysia (online or onsite) is designed for intermediate-level professionals who wish to apply Federated Learning to optimise 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.

6G represents the next generation of wireless networking, building upon the advancements of 5G to deliver ultra-low latency, massive throughput, pervasive intelligence, and integrated sensing for new application domains and services.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level professionals seeking to grasp the technical foundations, regulatory environment, and strategic business implications of 6G to inform planning and decision-making.

After completing this training, participants will be able to:

• Describe core 6G concepts and highlight differences from 5G.
• Recognize key enabling technologies and their practical applications.
• Evaluate high-value use cases and industry sectors enabled by 6G.
• Understand spectrum allocation, regulatory, and policy factors influencing 6G adoption.
• Develop a high-level 6G readiness roadmap tailored to their organization.

Course Format

• Interactive lectures with conceptual walkthroughs.
• Case studies and sector-specific examples.
• Group workshop to create an organizational 6G readiness outline.

Course Customization Options

• For customized training arrangements, please contact us.

In this instructor-led, live training in Malaysia, 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.

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

• Identify the different components of NB-IoT and 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 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 fundamentals of ThingsBoard features and architecture
• Build IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for telemetry device data routing
• Integrate ThingsBoard with Apache Spark for data aggregation from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

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.