5G and IoT Training Course

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level telecom professionals, artificial intelligence engineers, and Internet of Things specialists who seek to understand how 5G networks enhance Edge AI applications.

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

• Comprehend the foundational aspects of 5G technology and its influence on Edge AI.
• Deploy AI models tailored for low-latency operations in 5G settings.
• Develop real-time decision-making systems leveraging Edge AI and 5G connectivity.
• Optimize AI tasks for efficient performance on edge devices, ensuring alignment with public sector workflows for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at business managers who wish to gain essential knowledge to make informed decisions about the adoption of 5G for government. This course is not a technical course but rather focuses on the strategic thinking required to prepare for the integration of 5G technology. The technical and industry coverage will be tailored to meet the specific needs of the audience.

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

• Identify the opportunities that 5G brings to government organizations.
• Recognize the risks that 5G poses to business and industry operations.
• Understand and differentiate between the various technologies and standards underpinning 5G.
• Comprehend the role that 5G will play in advancing AI and IoT for government applications.
• Lead 5G initiatives that enhance customer service and operational efficiency within government agencies.
• Develop a strategy for adopting 5G products and services both internally within the organization and across external partner organizations for government use.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level professionals who seek 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 performance of 5G networks in clustered environments.
• Understand the radio frequency (RF) environment specific to 5G technology.
• Evaluate real-world cases of 5G implementation from other countries for government and public sector insights.
• Assess the coverage capabilities and limitations of 5G networks.
• Interpret and analyze 5G network quality parameters at a technical level.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to gain a comprehensive understanding of the architectural components that comprise 5G, enabling them to begin implementing their own solutions on this transformative new network for government.

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

• Master the fundamentals of 5G.
• Comprehend the 5G architecture and standards.
• Execute network function virtualization and network slicing.

5G is the fifth generation of mobile network technology that facilitates faster speeds, lower latency, and more reliable connections across a broad spectrum of applications.

This instructor-led, live training (online or onsite) is designed for intermediate-level IT professionals and technical managers who seek to understand the fundamentals, architecture, and business implications of 5G networks for government operations.

Upon completion of this training, participants will acquire the knowledge and skills to:

• Comprehend the key concepts and evolution of 5G technology.
• Identify the primary components and architecture of 5G networks.
• Differentiate between 4G LTE and 5G in terms of performance and design.
• Evaluate 5G use cases and applications across various industries.
• Assess 5G deployment strategies and regulatory considerations for government agencies.

Format of the Course

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

Course Customization Options

• This course can be tailored to focus on specific industry applications or regional 5G deployment contexts upon request for government agencies.

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.

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.

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.