6G and IoT Training Course

The 6G and the Intelligent Edge is a forward-looking course 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 (online or onsite) is designed for intermediate-level IT architects who wish to understand and design next-generation distributed architectures leveraging 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 applications.
• Design distributed systems for ultra-low latency, high bandwidth, and autonomous operations in public sector environments.
• Integrate AI and data analytics at the edge to support intelligent decision-making for government services.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures that meet government standards.
• Evaluate business and operational models enabled by 6G-edge convergence in a public sector context.

Format of the Course

• Interactive lectures and discussions tailored to government IT professionals.
• Case studies and applied architecture design exercises relevant to government projects.
• Hands-on simulation with optional edge or container tools, adapted for government use cases.

Course Customization Options

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

6G-Ready Infrastructure and Network Design is a specialized training program designed to prepare existing telecom and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering practices. This program 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, as well as 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 the performance, scalability, and reliability requirements of 6G technology. 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 for Government** To request a customized training for this course, tailored to meet specific needs and requirements, please contact us to arrange.

This instructor-led, live training (online or onsite) is designed for executive-level participants who wish to understand the global 6G landscape, assess its business potential, and plan early strategic investments. By the end of this course, participants will gain the insights needed to: - Identify emerging market trends and global initiatives shaping the 6G ecosystem. - Understand regulatory and spectrum allocation timelines related to IMT-2030. - Evaluate the evolving vendor landscape and technology readiness levels. - Develop a roadmap for early investment, research partnerships, and pilot initiatives for government.

This advanced course delves into the innovative realm of edge computing, providing a comprehensive exploration of sophisticated architectures and addressing integration challenges. Participants will gain the necessary skills to leverage the full potential of edge computing in various government environments. The curriculum focuses on developing expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific public sector needs for government.

AI and Digital Twins in 6G Networks is an advanced, specialized course that delves into the integration of digital twin technology and AI-native optimization to model, simulate, and manage next-generation 6G infrastructures. This instructor-led, live training (available online or on-site) is designed for advanced-level professionals who aim 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 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 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 for Government** To request a customized training program tailored to specific needs, please contact us to arrange.

This instructor-led, live training in US (online or onsite) is designed for intermediate-level IT professionals and business managers who seek 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 for government and private sectors.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors, including applications for government operations.
• Differentiate between edge and cloud computing architectures and deployment scenarios suitable for government and enterprise environments.
• Implement edge computing solutions to support predictive maintenance and real-time decision-making in both public and private sector contexts.

This comprehensive course integrates the transformative power of artificial intelligence (AI) with the agility of edge computing. 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 is designed to equip professionals with the skills necessary to optimize AI performance for real-time processing and decision-making at the edge, ensuring alignment with public sector workflows and governance for government applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level developers, system architects, and industry professionals who aim 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:

• Comprehend the core principles of Edge AI and its application in IoT systems.
• Establish and configure Edge AI environments for IoT devices.
• Create and deploy AI models on edge devices to support IoT applications.
• Execute real-time data processing and decision-making within IoT frameworks.
• Integrate Edge AI with a variety of IoT protocols and platforms.
• Address ethical considerations and best practices in the deployment of Edge AI for government and industry use cases.

This instructor-led, live training (online or onsite) is aimed at product managers and developers who wish to utilize Edge Computing to decentralize data management for enhanced performance, leveraging smart devices located at the source network. This training aligns with public sector workflows and governance practices for government. By the end of this training, participants will be able to: - Understand the fundamental concepts and benefits of Edge Computing. - Identify use cases and examples where Edge Computing can be effectively applied. - Design and implement Edge Computing solutions to accelerate data processing and reduce operational costs.

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 multiple clouds, and the importance of flexibility and redundancy. This training offers critical knowledge on developing a scalable and secure infrastructure that supports the evolving needs of modern applications through edge computing.

This instructor-led, live training (available online or onsite) is designed for 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: - Understand the principles and benefits of Federated Learning in IoT and edge computing environments. - Implement Federated Learning models on IoT devices to enable decentralized AI processing. - Reduce latency and improve real-time decision-making capabilities in edge computing scenarios. - Address challenges related to data privacy and network constraints in government IoT systems.

6G represents the next-generation wireless networking framework that builds on the advancements of 5G to deliver ultra-low latency, exceptionally high throughput, pervasive intelligence, and integrated sensing capabilities for a new generation of applications and services.

This instructor-led, live training (available online or onsite) is designed for government professionals at beginner to intermediate levels who seek to understand the technical foundations, regulatory landscape, and strategic business impacts of 6G for planning and decision-making purposes.

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

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

Format of the Course

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

Course Customization Options

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

Unlike other technologies, the Internet of Things (IoT) is far more complex, encompassing a broad range of core engineering disciplines, including Mechanical, Electronics, Firmware, Middleware, Cloud, Analytics, and Mobile. Each layer of IoT engineering involves various aspects of economics, standards, regulations, and the evolving state of the art. For government and other sectors, this advanced course offers a comprehensive overview of these critical IoT engineering aspects.

Summary

An advanced training program covering the current state of the art in Internet of Things (IoT) technology. This program cuts across multiple technology domains to develop awareness of an IoT system and its components, highlighting how it can benefit businesses and organizations.

The course includes live demonstrations of model IoT applications, showcasing practical IoT deployments across different industry sectors such as Industrial IoT, Smart Cities, Retail, Travel & Transportation, and use cases involving connected devices and things.

Target Audience

This training is designed for managers responsible for business and operational processes within their respective organizations who want to understand how to leverage IoT to enhance system and process efficiency. It is also suitable for entrepreneurs and investors looking to build new ventures and seeking a better understanding of the IoT technology landscape to effectively utilize it.

Estimates for the value of the Internet of Things (IoT) market are substantial, given that IoT is an integrated and diffused layer of devices, sensors, and computing power that overlays consumer, business-to-business, and government industries. The number of IoT connections is expected to grow from 1.9 billion today to 9 billion by 2018, roughly equaling the combined total of smartphones, smart TVs, tablets, wearable computers, and PCs.

In the consumer space, many products and services have already integrated into the IoT, including kitchen and home appliances, parking solutions, RFID systems, lighting and heating products, and various applications in the Industrial Internet. While the underlying technologies of IoT are not new, as machine-to-machine (M2M) communication has existed since the birth of the internet, recent advancements include the emergence of inexpensive wireless technologies and widespread adoption of smartphones and tablets. The explosive growth of mobile devices has driven the current demand for IoT.

Due to the vast opportunities in the IoT business, a significant number of small and medium-sized enterprises have entered the market. The availability of open-source electronics and IoT platforms has made the development and management of IoT systems more affordable. Existing electronic product owners are also under pressure to integrate their devices with the internet or mobile apps.

The primary objective of this training is to provide a technology and business review of the emerging IoT industry, enabling enthusiasts and entrepreneurs to grasp the basics of IoT technology and its business applications.

Course Objective

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

Key topics covered include:

• A basic introduction to all elements of IoT: Mechanical, Electronics/sensor platforms, wireless and wireline protocols, mobile-to-electronics integration, mobile-to-enterprise integration, data analytics, and total control plane.
• M2M wireless protocols for IoT, including WiFi, Zigbee/Zwave, Bluetooth, ANT+: Understanding when and where to use each protocol.
• Mobile/Desktop/Web app development for registration, data acquisition, and control, along with available M2M data acquisition platforms like Xively, Omega, and NovoTech.
• Security issues and solutions specific to IoT.
• Open-source and commercial electronics platforms for IoT, such as Raspberry Pi, Arduino, and ArmMbedLPC.
• Open-source and commercial enterprise cloud platforms for IoT, including AWS-IoT apps, Azure-IOT, Watson-IOT cloud, and other minor IoT clouds.
• Case studies of business and technology in common IoT devices like home automation systems, smoke alarms, vehicles, military applications, and home health solutions.

In this instructor-led, live training, participants will gain a comprehensive understanding of NB-IoT (also known as LTE Cat NB1) and develop and deploy a sample NB-IoT-based application. This training is designed to align with the needs and standards for government. By the end of 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 to track NB-IoT devices, enhancing operational efficiency and accountability for government.

ThingsBoard is an open-source IoT platform designed to offer comprehensive 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 projects for government use.

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

• Install and configure ThingsBoard
• Understand the core features and architecture of ThingsBoard
• Develop IoT applications using ThingsBoard
• Integrate ThingsBoard with Kafka for efficient telemetry data routing from devices
• Integrate ThingsBoard with Apache Spark to aggregate and analyze data from multiple devices

Audience

• Software engineers
• Hardware engineers
• Developers

Format of the Course

• Part lecture, part discussion, with exercises and extensive hands-on practice

Note

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