5G and IoT Training Course

This instructor-led live training session, conducted in US (either online or onsite), targets intermediate-level telecommunications professionals, AI engineers, and IoT specialists seeking to examine how 5G networks drive the acceleration of Edge AI applications for government use.

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

• Articulate the foundational principles of 5G technology and its specific impacts on Edge AI performance.
• Execute the deployment of AI models specifically optimized for low-latency operations within 5G environments.
• Establish real-time decision-making systems utilizing Edge AI and 5G connectivity standards.
• Refine AI workloads to achieve optimal efficiency on edge computing devices.

This facilitator-led live training session, conducted in US via online or in-person formats, is intended for intermediate-level professionals seeking to evaluate the operational behavior, scope, and deployment of 5G networks in technical settings.

Upon completion of this program, participants will be equipped to:

• Examine the operational behavior of 5G networks in clustered configurations.
• Comprehend the radio frequency (RF) environment associated with 5G technology.
• Assess international case studies regarding 5G implementation.
• Evaluate the capabilities and inherent limitations of 5G coverage.
• Interpret and analyze technical parameters related to 5G network quality.

This instructor-led, live training in US (delivered online or onsite) is designed for intermediate-level telecommunications professionals who aim to understand the complete 5G network lifecycle, spanning from architecture and design through deployment, operations, and security.

6G represents the next-generation wireless communication standard designed to revolutionize IoT ecosystems by delivering ultra-high-speed connectivity, advanced sensing capabilities, and integrated artificial intelligence.

This instructor-led, live training session (available online or in-person) is designed for advanced-level professionals seeking to understand and utilize the emerging intersection of 6G technologies and IoT applications for government purposes.

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

• Articulate the fundamental technical concepts underpinning 6G networks.
• Assess how 6G will transform IoT device communication and overall architecture.
• Evaluate 6G-enabled IoT use cases across various sectors.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-oriented lectures supplemented by expert discussion.
• Applied exercises intended to reinforce key engineering principles.
• Case-based exploration and scenario analysis within a guided environment.

Course Customization Options

• For tailored versions of this training aligned with your organizational technology roadmap, please contact us to coordinate.

Explore the advanced capabilities of edge computing through this specialized course. Examine complex architectural frameworks and address integration complexities, preparing organizations to maximize the utility of edge computing across diverse operational environments. Develop expertise in contemporary tools and methodologies for deploying, managing, and optimizing edge computing solutions that satisfy specific public sector needs.

Technological advancements and the exponential growth of information are fundamentally transforming operational practices across various sectors, including the public sector. Government agencies are experiencing accelerated rates of data generation and digital archiving, driven by the proliferation of mobile devices and applications, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information expands in volume and complexity, the management, processing, storage, security, and disposition of this data become increasingly intricate. Emerging capture, search, discovery, and analysis tools are enabling organizations to derive insights from unstructured data. The government market is at a critical juncture, recognizing that information is a strategic asset. For government, it is imperative to protect, leverage, and analyze both structured and unstructured information to better serve mission requirements. As government leaders strive to evolve data-driven organizations to successfully accomplish their missions, they are laying the groundwork to correlate dependencies across events, people, processes, and information.

High-value government solutions will be created from a mashup of the most disruptive technologies:

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

Big Data is one of the intelligent industry solutions and allows government to make better decisions by taking action based on patterns revealed by analyzing large volumes of data — related and unrelated, structured and unstructured.

However, accomplishing these goals requires far more than simply accumulating massive quantities 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," as noted by Tom Kalil and Fen Zhao of the White House Office of Science and Technology Policy in a post on the OSTP Blog.

The White House took a step toward helping agencies find these technologies when it established the National Big Data Research and Development Initiative in 2012. The initiative included more than $200 million to make the most of the explosion of Big Data and the tools needed to analyze it.

The challenges that Big Data poses are nearly as daunting as its promise is encouraging. Storing data efficiently is one of these challenges. As always, budgets are tight, so agencies must minimize the per-megabyte price of storage and keep the data within easy access so that users can get it when they want it and how they need it. Backing up massive quantities of data heightens the challenge.

Analyzing the data effectively is another major challenge. Many agencies employ commercial tools that enable them to sift through the mountains of data, spotting trends that can help them operate more efficiently. (A recent study by MeriTalk found that federal IT executives think Big Data could help agencies save more than $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools also are allowing agencies to address the need to analyze their data. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. The system has helped medical researchers find a link that can alert doctors to aortic aneurysms before they strike. It’s also used for more mundane tasks, such as sifting through resumes to connect job candidates with hiring managers.

This instructor-led, live training program in US (available online or in-person) is designed for intermediate-level information technology professionals and business executives who seek to comprehend the potential of IoT and edge computing to enhance efficiency, enable real-time processing, and foster innovation across various industries.

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

• Comprehend the fundamental principles of IoT and edge computing and their strategic role in digital transformation.
• Identify specific use cases for IoT and edge computing within the manufacturing, logistics, and energy sectors.
• Distinguish between edge and cloud computing architectures and assess appropriate deployment scenarios.
• Implement edge computing solutions for predictive maintenance and real-time operational decision-making.

Integrate the transformative capabilities of AI with the agility of edge computing in this comprehensive course. Learn to deploy AI models directly on edge devices, progressing from foundational CNN architectures to advanced knowledge distillation and federated learning. This practical training equips you with the necessary skills to optimize AI performance for real-time processing and decision-making at the edge, supporting mission-critical operations for government.

This instructor-led, live training in US (online or onsite) is intended for intermediate-level developers, system architects, and industry professionals aiming to leverage Edge AI for enhancing IoT applications with intelligent data processing and analytics capabilities.

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

• Understand the fundamentals of Edge AI and its application in IoT for government and other sectors.
• 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.

Establish a robust base in the design and administration of resilient edge computing infrastructure. Acquire knowledge regarding open hybrid cloud frameworks, the management of workloads across varied cloud platforms, and the assurance of agility and redundancy. This training delivers essential understanding for constructing a scalable and secure infrastructure for government that accommodates the dynamic requirements of modern applications through edge computing.

This instructor-led, live training in US (online or onsite) is tailored for intermediate-level professionals aiming to apply Federated Learning to optimize IoT and edge computing solutions for government.

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

• Understand the core principles and strategic benefits of Federated Learning in IoT and edge computing.
• Implement Federated Learning models on IoT devices to enable decentralized AI processing.
• Reduce latency and improve the effectiveness of real-time decision-making in edge computing environments.
• Address critical challenges related to data privacy and network constraints within IoT systems.

This practical, hands-on course provides a comprehensive introduction to the Internet of Things (IoT), from device-level programming to cloud-based data processing and visualization. Participants will explore the full IoT architecture—sensors, communication protocols, microcontrollers, and cloud integration—through guided exercises using development boards like ESP32 and Raspberry Pi. By the end of the course, learners will be able to build a complete IoT pipeline: reading sensor data, transmitting it via MQTT/HTTP, processing it on cloud platforms such as Azure IoT Hub, AWS IoT Core, or Google Cloud IoT, and visualizing it using tools like Grafana or Power BI. Security best practices and simulated cyber threats are also covered to ensure robust and safe deployments.

This instructor-led live training, delivered online or on-site, is designed for entry-level and intermediate-level telecom engineers and field professionals seeking to apply structured deployment methodologies and industry best practices. The objective is to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across operator and enterprise environments, with a focus on standards relevant for government and public sector infrastructure.

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

• Install and configure multi-vendor BTS systems (Huawei, ZTE, Ericsson) from 2G to 5G.
• Supervise site deployment activities and coordinate RF, transmission, power, civil, and core network teams during integration.
• Prepare telecom sites for ATP (Acceptance Test Procedure) compliance and manage operator handover processes.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.