6G and IoT Training Course

The 6G and the Intelligent Edge course is a forward-looking program that explores the integration of 6G wireless technologies with edge computing, IoT ecosystems, and AI-driven data processing to support intelligent, low-latency, and adaptive infrastructures for government.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT architects who wish to understand and design next-generation distributed architectures that leverage the synergy of 6G connectivity and intelligent edge systems.

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

• Understand how 6G will transform edge computing and IoT architectures for government.
• Design distributed systems for ultra-low latency, high bandwidth, and autonomous operations in a public sector context.
• Integrate AI and data analytics at the edge to support intelligent decision-making for government applications.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures that align with public sector workflows and governance.
• Evaluate business and operational models enabled by 6G-edge convergence in the context of government operations.

Format of the Course

• Interactive lectures and discussions focused on government applications.
• Case studies and applied architecture design exercises relevant to public sector challenges.
• Hands-on simulation with optional edge or container tools, tailored for government use cases.

Course Customization Options

• To request a customized training for this course, specifically designed to meet the needs of your government agency, please contact us to arrange.

The 6G-Ready Infrastructure and Network Design program is a specialized training initiative focused on preparing existing telecommunications and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering practices. This includes topics such as transport and fronthaul evolution, cloud-native and open RAN approaches, edge and distributed computing, timing and synchronization, spectrum and RF readiness, automation, and AI-native operations, along with practical migration strategies for operators and enterprises.

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

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

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

Format of the Course

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

Course Customization Options for Government

• To request a customized training program tailored to the specific needs of your organization, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for executive-level participants who wish to gain a comprehensive understanding of the global 6G landscape, assess its business potential, and plan strategic early investments.

By the end of this course, participants will acquire the insights necessary to:

• Identify emerging market trends and global initiatives that are shaping the 6G ecosystem for government and industry.
• Understand regulatory frameworks and spectrum allocation timelines associated with IMT-2030.
• Evaluate the evolving vendor landscape and technology readiness levels to inform decision-making processes.
• Develop a strategic roadmap for early investment, research partnerships, and pilot initiatives that align with public sector goals.

Explore the innovative domain of edge computing with this advanced course designed for government professionals. Delve into sophisticated architectures and address integration challenges, equipping yourself to harness the full potential of edge computing in diverse public sector environments. Acquire expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs for government.

AI and Digital Twins in 6G Networks is an advanced, specialized course designed to explore the convergence of digital twin technology and AI-native optimization in modeling, simulating, and operating next-generation 6G infrastructures.

This instructor-led, live training (available online or onsite) is tailored for advanced-level professionals who aim to apply digital twin methodologies and AI techniques to design, validate, and optimize the behavior of 6G networks in realistic, reproducible environments.

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

• Explain the role and architecture of digital twins throughout the lifecycle of 6G networks.
• Build and configure digital twin models for Radio Access Network (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 in-depth architectural discussions.
• Hands-on labs with simulators, twin models, and machine learning toolchains.
• Case study reviews and a practical mini-project integration exercise.

Course Customization Options for Government

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

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level IT professionals and business managers who wish to understand the potential of IoT and edge computing for enhancing efficiency, enabling real-time processing, and fostering innovation across various industries.

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

• Comprehend the principles of IoT and edge computing and their significance in digital transformation efforts for government.
• Identify use cases for IoT and edge computing in sectors such as manufacturing, logistics, and energy.
• Distinguish between edge and cloud computing architectures and deployment scenarios to optimize resource allocation.
• Implement edge computing solutions to support predictive maintenance and facilitate real-time decision-making processes for government operations.

Integrate the transformative capabilities of artificial intelligence (AI) with the agility of edge computing in this comprehensive course designed for government professionals. Participants will learn to deploy AI models directly on edge devices, covering topics from understanding convolutional neural network (CNN) architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows, governance, and accountability.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who wish to leverage Edge AI to enhance IoT applications with advanced data processing and analytics capabilities.

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

• Understand the foundational principles of Edge AI and its application in IoT systems for government.
• Set up and configure Edge AI environments suitable for IoT devices used in public sector workflows.
• Develop and deploy AI models on edge devices to support IoT applications aligned with government objectives.
• Implement real-time data processing and decision-making capabilities in IoT systems for enhanced governance and accountability.
• Integrate Edge AI with various IoT protocols and platforms commonly used in the public sector.
• Address ethical considerations and best practices in Edge AI deployment for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging intelligent devices located on the source network for government applications.

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

• Comprehend the fundamental concepts and benefits of Edge Computing.
• Recognize the use cases and examples where Edge Computing can be effectively applied.
• Develop and implement Edge Computing solutions for more efficient data processing and reduced operational costs in public sector environments.

Establish a robust foundation in designing and managing a resilient edge computing infrastructure for government. Gain insights into open hybrid cloud infrastructures, the management of workloads across diverse clouds, and the assurance of flexibility and redundancy. This training offers essential knowledge on creating a scalable and secure infrastructure that supports the dynamic needs of modern applications with edge computing.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level professionals who wish to apply Federated Learning to enhance IoT and edge computing solutions for government.

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

• Comprehend the principles and benefits of Federated Learning in the context of IoT and edge computing.
• Deploy Federated Learning models on IoT devices to support decentralized artificial intelligence processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Tackle challenges related to data privacy and network limitations in IoT systems for government operations.

6G represents the next-generation wireless networking paradigm that builds upon advancements in 5G to deliver ultra-low latency, extremely high throughput, pervasive intelligence, and integrated sensing capabilities, enabling new classes of applications and services for government.

This instructor-led, live training (conducted online or onsite) is designed for beginner-level to intermediate-level professionals who aim to understand the technical foundations, regulatory landscape, and strategic business impacts of 6G for planning and decision-making in public sector contexts.

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

• Explain core 6G concepts and how they differ from 5G technologies.
• Identify key enabling technologies and their practical implications for government operations.
• Assess high-value use cases and industry verticals that 6G will enable, particularly in the public sector.
• Understand spectrum, regulatory, and policy considerations for 6G adoption in government environments.
• Draft a high-level 6G readiness roadmap tailored to their organization’s needs.

Format of the Course

• Interactive lectures with conceptual walkthroughs.
• Case studies and sector-specific examples relevant to government operations.
• Group workshops to develop an organizational 6G readiness outline for government use.

Course Customization Options

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

Unlike other technologies, the Internet of Things (IoT) is far more complex, encompassing almost every branch of core engineering—mechanical, electronics, firmware, middleware, cloud, analytics, and mobile. For each of its engineering layers, there are aspects of economics, standards, regulations, and evolving state-of-the-art advancements. This course, for government and other sectors, is a modest yet comprehensive program designed to cover all these critical aspects of IoT Engineering.

Summary

An advanced training program covering the current state of the art in Internet of Things (IoT).

Cuts across multiple technology domains to develop awareness of an IoT system and its components, and how it can help businesses and organizations.

Live demo of model IoT applications to showcase practical IoT deployments across different industry domains, such as Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases around connected devices and things.

Target Audience

Managers responsible for business and operational processes within their respective organizations who want to know how to harness IoT to make their systems and processes more efficient.

Entrepreneurs and Investors who are looking to build new ventures and want to develop a better understanding of the IoT technology landscape to see how they can leverage it in an effective manner.

Estimates for Internet of Things (IoT) market value are massive, as by definition, the IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays entire consumer, business-to-business, and government industries. The IoT will account for an increasingly large number of connections: 1.9 billion devices today, and 9 billion by 2018. That year, it will be roughly equal to the number of smartphones, smart TVs, tablets, wearable computers, and PCs combined.

In the consumer space, many products and services have already crossed over into the IoT, including kitchen and home appliances, parking, RFID, lighting and heating products, and a number of applications in the Industrial Internet.

However, the underlying technologies of IoT are not new. Machine-to-Machine (M2M) communication has existed since the birth of the internet. What has changed in recent years is the emergence of numerous inexpensive wireless technologies, coupled with the widespread adoption of smartphones and tablets in every home. The explosive growth of mobile devices has driven the current demand for IoT.

Due to the unbounded opportunities in the IoT business, a large number of small and medium-sized entrepreneurs have joined the IoT market. Additionally, the emergence of open-source electronics and IoT platforms has made the development and management of IoT systems increasingly affordable. Existing electronic product owners are experiencing pressure to integrate their devices with the internet or mobile apps.

This training is intended for a technology and business review of an emerging industry so that IoT enthusiasts and entrepreneurs can grasp the basics of IoT technology and business.

Course Objective

The main objective of the course is to introduce emerging technological options, platforms, and case studies of IoT implementation in home and city automation (smart homes and cities), Industrial Internet, healthcare, government, mobile cellular, and other areas.

A basic introduction to all elements of IoT: mechanical, electronics/sensor platform, wireless and wireline protocols, mobile-to-electronics integration, mobile-to-enterprise integration, data analytics, and total control plane.

M2M Wireless protocols for IoT—WiFi, Zigbee/Zwave, Bluetooth, ANT+: When and where to use which one?

Mobile/Desktop/Web app development for registration, data acquisition, and control. Available M2M data acquisition platforms for IoT: Xively, Omega, and NovoTech, among others.

Security issues and security solutions for IoT.

Open-source and commercial electronics platforms for IoT—Raspberry Pi, Arduino, ArmMbedLPC, etc.

Open-source and commercial enterprise cloud platforms for AWS-IoT apps, Azure-IOT, Watson-IOT cloud, in addition to other minor IoT clouds.

Studies of the business and technology of some common IoT devices like home automation, smoke alarms, vehicles, military applications, home health, etc.

In this instructor-led, live training in US Empire, participants will gain an understanding of the various aspects of NB-IoT (also known as LTE Cat NB1) as they develop and deploy a sample NB-IoT-based application for government use.

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 suitable for government applications.
• Understand and explain the security features built into NB-IoT devices to ensure compliance with government standards.
• Develop a simple application to track NB-IoT devices, enhancing operational efficiency for government agencies.

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

In this instructor-led, live training, participants will learn how to integrate ThingsBoard into their IoT solutions for government use.

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 with 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 extensive hands-on practice

Note

• To request a customized training for government use, please contact us to arrange.