5G and IoT Training Course

This instructor-led, live training in Serbia (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.

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 in Serbia (online or onsite) is designed for business managers who wish to learn only the critical information needed to make important decisions about the adoption of 5G. This course is not a technical course but rather a course on the strategic thinking needed to prepare for the arrival of 5G. The technical coverage and industry coverage will be adapted to the audience.

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

• Identify the opportunities that 5G brings to the organization.
• Identify the risks that 5G poses to business and industry.
• Understand and distinguish the different technologies and standards underlying 5G.
• Understand the role that 5G will play in the further development of AI and IoT.
• Head up 5G initiatives that lead to improvements in customer service and operational efficiency.
• Initiate a strategy for adopting 5G products and services within the organization as well as across external partner organizations.

This instructor-led live training in Serbia (online or onsite) is designed for intermediate-level professionals who want to understand and evaluate the behavior, scope, and implementation of 5G networks in technical settings.

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

• Analyze 5G network behavior in clustered environments.
• Understand the RF environment specific to 5G technology.
• Evaluate real-world cases of 5G implementation from other countries.
• Assess 5G coverage capabilities and limitations.
• Interpret and analyze 5G network quality parameters on a technical level.

5G represents the fifth generation of mobile network technology, offering faster data speeds, reduced latency, and more reliable connectivity for a diverse array of applications.

This guided live training (available online or in person) targets intermediate IT specialists and technical managers seeking to grasp the core principles, architecture, and business impact of 5G networks.

After completing this course, participants will be able to:

• Comprehend the fundamental concepts and historical development of 5G technology.
• Identify the primary components and architectural structure of 5G networks.
• Distinguish between 4G LTE and 5G regarding performance capabilities and design approaches.
• Analyze 5G use cases and applications across various industries.
• Evaluate deployment strategies and regulatory factors associated with 5G.

Course Format

• Interactive lectures and group discussions.
• Case studies and scenario-based exercises.
• Practical exploration of 5G network architecture through live demonstrations.

Customization Options

• This course can be customized to emphasize specific industry applications or regional 5G deployment contexts, as requested.

Positioned as the next generation of wireless standards, 6G is set to revolutionize IoT ecosystems by delivering ultra-fast connectivity, advanced sensing capabilities, and integrated AI.

This instructor-led live training, available online or onsite, targets advanced-level professionals seeking to understand and harness the emerging convergence of 6G technologies and IoT applications.

Upon completion, learners will be equipped to:

• Articulate the fundamental technical concepts underlying 6G.
• Assess how 6G will transform IoT device communication and architectural design.
• Evaluate IoT use cases enabled by 6G across various industries.
• Develop strategies for integrating 6G capabilities into current IoT solutions.

Course Format

• Concept-driven lectures combined with expert-led discussions.
• Practical exercises designed to reinforce core engineering principles.
• Guided case studies and scenario analysis.

Customization Options

• For customized training aligned with your organization's technology roadmap, please contact us to arrange.

Delve deeper into the innovative realm of edge computing with this advanced course. Explore sophisticated architectures and tackle integration challenges, preparing to leverage the full potential of edge computing in a variety of business environments. Gain expertise in cutting-edge tools and methodologies to deploy, manage, and optimize edge computing solutions that meet specific industry needs.

Technological advancements and the exponential growth of information are reshaping business operations across numerous sectors, including government. Government data creation and digital archiving are accelerating, driven by the proliferation of mobile devices and apps, smart sensors, cloud computing solutions, and citizen-facing portals. As digital information becomes more voluminous and complex, the management, processing, storage, security, and retention of this data become increasingly challenging. New tools for capture, search, discovery, and analysis are enabling organizations to derive valuable insights from unstructured data. The government sector is at a critical juncture, recognizing information as a strategic asset. Governments must protect, leverage, and analyze both structured and unstructured information to better serve citizens and meet mission requirements. As government leaders strive to evolve into data-driven organizations, they are establishing the foundation to correlate dependencies across events, personnel, processes, and information.

High-impact government solutions are emerging from the integration of disruptive technologies:

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

Big Data serves as an intelligent industry solution, enabling governments to make better decisions by acting on patterns revealed through the analysis of large volumes of data—both related and unrelated, structured and unstructured.

However, achieving these goals requires more than just accumulating vast amounts 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," wrote 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 significant step toward helping agencies identify these technologies by establishing the National Big Data Research and Development Initiative in 2012. This initiative included over $200 million to capitalize on the Big Data explosion and the tools needed to analyze it.

The challenges posed by Big Data are nearly as daunting as its promise is encouraging. Efficient data storage is one such challenge. With budgets always tight, agencies must minimize the cost per megabyte of storage and ensure data is easily accessible, allowing users to retrieve it when and how they need it. Backing up massive quantities of data further compounds this challenge.

Effective data analysis is another major hurdle. Many agencies utilize commercial tools to sift through vast amounts of data, identifying trends that improve operational efficiency. (A recent MeriTalk study found that federal IT executives believe Big Data could help agencies save over $500 billion while also fulfilling mission objectives.).

Custom-developed Big Data tools are also enabling agencies to meet their analysis needs. For example, the Oak Ridge National Laboratory’s Computational Data Analytics Group has made its Piranha data analytics system available to other agencies. This system has helped medical researchers identify links that can alert doctors to aortic aneurysms before they occur. It is also used for routine tasks, such as screening resumes to connect job candidates with hiring managers.

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

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

• Understand the principles of IoT and edge computing and their role in digital transformation.
• Identify use cases for IoT and edge computing in manufacturing, logistics, and energy sectors.
• Differentiate between edge and cloud computing architectures and deployment scenarios.
• Implement edge computing solutions for predictive maintenance and real-time decision-making.

Combine the transformative power of AI with the agility of edge computing in this comprehensive course. Learn to deploy AI models directly on edge devices, from understanding CNN architectures to mastering knowledge distillation and federated learning. This hands-on training will equip you with the skills to optimize AI performance for real-time processing and decision-making at the edge.

This instructor-led live training in Serbia (online or onsite) targets intermediate-level developers, system architects, and industry professionals eager to leverage Edge AI to boost IoT applications with intelligent data processing and analytics.

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

• Understand the fundamentals of Edge AI and its application in IoT.
• 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.

This instructor-led live training in Serbia (online or onsite) is designed for product managers and developers aiming to decentralize data management via Edge Computing to achieve faster performance, utilizing smart devices located within the source network.

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

• Understand the core concepts and advantages of Edge Computing.
• Identify use cases and examples where Edge Computing can be effectively applied.
• Design and build Edge Computing solutions for faster data processing and reduced operational costs.

Establish a solid foundation in designing and managing resilient edge computing infrastructure. Gain insights into open hybrid cloud setups, workload management across various clouds, and strategies for ensuring flexibility and redundancy. This training equips learners with the essential knowledge needed to build scalable, secure infrastructure capable of supporting the dynamic demands of modern applications through edge computing.

Embedded systems are specialized computing architectures engineered to execute specific tasks within broader systems. The Internet of Things (IoT) represents a connected network of physical devices, equipped with sensors and software, that communicate and share data via the internet.

This instructor-led, live training (available online or onsite) is designed for technical beginners looking to grasp and implement embedded systems and IoT principles using C programming and microcontroller architectures.

Upon completing this training, participants will be capable of:

• Comprehending the architecture and core components of embedded systems.
• Writing and compiling C code to facilitate hardware interaction.
• Utilizing microcontroller peripherals, such as timers and Analog-to-Digital Converters (ADCs).
• Understanding the role of embedded systems within IoT architectures.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live laboratory environment.

Customization Options

• For a tailored training session, please contact us to arrange details.

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

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

• Comprehend the principles and advantages of Federated Learning in IoT and edge computing.
• Deploy Federated Learning models on IoT devices for decentralized AI processing.
• Minimize latency and enhance real-time decision-making capabilities in edge computing environments.
• Overcome challenges related to data privacy and network limitations in IoT systems.

This instructor-led, live training (online or onsite) is designed for beginner and intermediate-level telecom engineers and field professionals seeking to apply structured deployment methodologies and industry best practices. The program enables successful installation, supervision, integration, and management of 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) 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) and manage operator handover processes.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.