5G and IoT Training Course

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level telecom professionals, AI engineers, and IoT specialists who wish to explore how 5G networks accelerate Edge AI applications for government. By the end of this training, participants will be able to: - Understand 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, available both online and onsite, is designed for government business managers who wish to gain essential knowledge to make informed decisions about the adoption of 5G. This course focuses on strategic thinking rather than technical details, preparing participants for the arrival of 5G with a curriculum tailored to their specific industry needs.

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

• Identify the opportunities that 5G presents for government operations and services.
• Recognize the potential risks that 5G poses to public sector organizations and industries.
• Understand and differentiate the various technologies and standards underpinning 5G.
• Comprehend the role of 5G in advancing artificial intelligence (AI) and the Internet of Things (IoT).
• Lead 5G initiatives that enhance customer service and operational efficiency within government agencies.
• Develop a strategy for integrating 5G products and services both internally and with external partner organizations.

This instructor-led, live training in [location] (online or onsite) is aimed at intermediate-level professionals who wish to understand and evaluate the behavior, scope, and implementation of 5G networks in technical environments for government. 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 deployment from other countries. - Assess the coverage capabilities and limitations of 5G networks. - Interpret and analyze technical parameters of 5G network quality.

This instructor-led, live training in [location] (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 developing their own solutions for government and other sectors on this transformative network. By the end of this training, participants will be able to: - Master the foundational principles of 5G. - Comprehend the 5G architecture and associated standards. - Implement network function virtualization and network slicing.

5G is the fifth generation of mobile network technology, designed to enable faster speeds, lower latency, and more reliable connections across a wide range of applications. This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals and technical managers who wish to understand the fundamentals, architecture, and business implications of 5G networks for government and other sectors. Upon completion of this training, participants will gain the knowledge and skills to: - Understand the key concepts and evolution of 5G technology. - Identify the main components and architecture of 5G networks. - Recognize the differences between 4G LTE and 5G in terms of performance and design. - Evaluate 5G use cases and applications across industries, including those relevant for government operations. - Assess 5G deployment strategies and regulatory considerations. **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, ensuring it meets the needs of government agencies and other organizations.

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.

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.

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.

This instructor-led, live training (online or onsite) is designed for beginner-level and intermediate-level telecom engineers and field professionals who aim to utilize structured deployment methodologies and industry best practices to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across both 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) spanning from 2G to 5G.
• Oversee 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 established commercial and technical reporting structures, ensuring compliance with standards 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.