Web and Mobile Forensics Training Course

This instructor-led live training in Bulgaria (online or onsite) targets intermediate-level telecom professionals, AI engineers, and IoT specialists interested in exploring the role of 5G networks in accelerating 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.

The primary goal of this training is to clarify what the 5G network entails and its influence on smart technologies. I aim to illustrate both the benefits and drawbacks of this technological synergy (5G / IoT) and outline the development trajectory of the network, which has been oriented toward the smart world from its inception.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at 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 Bulgaria (online or onsite) is tailored for intermediate-level professionals seeking to comprehend and assess the performance, scope, and deployment of 5G networks within technical settings.

Upon completing this training, participants will be equipped to:

• Analyze the performance of 5G networks in clustered setups.
• Grasp the RF environment unique to 5G technology.
• Review real-world 5G deployment examples from various countries.
• Evaluate the coverage capabilities and constraints of 5G.
• Interpret and analyze 5G network quality parameters from a technical perspective.

This instructor-led, live training in Bulgaria (online or onsite) is aimed at engineers who wish to understand the architectural components that make up 5G so as to begin implementing their own solutions on top of this groundbreaking new network.

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

• Learn the fundamentals of 5G.
• Understand the 5G architecture and standards.
• Perform network function virtualization and network slicing.

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

This instructor-led live training, available online or in person, is designed for intermediate-level IT professionals and technical managers seeking to grasp the fundamentals, architecture, and business impact of 5G networks.

After completing this course, participants will be able to:

• Comprehend the core concepts and historical development of 5G technology.
• Identify the primary components and architectural structure of 5G networks.
• Compare 4G LTE and 5G regarding performance capabilities and design principles.
• Explore 5G use cases and applications across various industries.
• Evaluate 5G deployment strategies and relevant regulatory factors.

Course Format

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

Customization Options

• The course content can be adjusted to emphasize specific industry applications or regional 5G deployment contexts, upon request.

This instructor-led, live training in Bulgaria (onsite or remote) is designed for engineers who wish to implement security policies and technologies to secure 5G wireless networks.

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

• Understand 5G architecture and the challenges it poses to testing.
• Select and utilize the technology, tools, and applications available for 5G development and testing.
• Implement 5G testing practices to prevent failures at any of the different elements of a 5G network.
• Predict problems and optimize performance of 5G.

The '6G and the Intelligent Edge' course offers a forward-looking perspective on integrating 6G wireless technologies with edge computing, IoT ecosystems, and AI-driven data processing to enable intelligent, adaptive, and low-latency infrastructures.

This instructor-led training, available online or onsite, targets intermediate-level IT architects seeking to grasp and design next-generation distributed architectures that leverage the synergy between 6G connectivity and intelligent edge systems.

Upon completing this course, participants will be able to:

• Comprehend how 6G will transform edge computing and IoT architectures.
• Design distributed systems for ultra-low latency, high bandwidth, and autonomous operations.
• Integrate AI and data analytics at the edge to facilitate intelligent decision-making.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures.
• Evaluate business and operational models enabled by the convergence of 6G and edge technologies.

Course Format

• Interactive lectures and discussions.
• Case studies and applied architecture design exercises.
• Hands-on simulation with optional edge or container tools.

Course Customization Options

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

6G represents the next-generation wireless communication standard, poised to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing, and integrated AI capabilities.

This instructor-led, live training (online or onsite) is designed for advanced-level participants who wish to understand and leverage the emerging intersection of 6G technologies and IoT applications.

By completing this course, learners will gain the ability to:

• Explain the core technical concepts behind 6G.
• Assess how 6G will reshape IoT device communication and architecture.
• Evaluate 6G-enabled IoT use cases across industries.
• Prepare strategies for integrating 6G capabilities into existing IoT solutions.

Format of the Course

• Concept-focused lectures combined with expert discussion.
• Applied exercises designed to reinforce key engineering principles.
• Case-based exploration and scenario analysis in a guided environment.

Course Customization Options

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

The "6G-Ready Infrastructure and Network Design" program is a specialized training initiative designed to equip telecom and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering methodologies. The curriculum explores the evolution of transport and fronthaul networks, cloud-native and Open RAN methodologies, edge and distributed computing, timing and synchronization mechanisms, spectrum and RF readiness, automation and AI-native operations, as well as practical migration strategies for operators and enterprises.

This instructor-led, live training (available online or onsite) targets intermediate-level telecom engineers and network architects who aim to design, optimize, and evolve their current 4G/5G infrastructure to meet the performance, scalability, and reliability requirements of 6G.

Upon completing this course, participants will be able to:

• Evaluate current network infrastructure gaps and assess 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

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

This instructor-led live training (available online or onsite) is designed for executive-level professionals seeking to grasp the global 6G landscape, evaluate its business opportunities, and formulate early strategic investment plans.

Upon completing this course, participants will acquire the insights required to:

• Recognize emerging market trends and global initiatives influencing the 6G ecosystem.
• Comprehend regulatory frameworks and spectrum allocation schedules tied to IMT-2030.
• Analyze the shifting vendor landscape and assess technology readiness levels.
• Establish a roadmap for early investment, research collaborations, and pilot projects.

The course "AI and Digital Twins in 6G Networks" is an advanced, specialized program that examines how digital twin technology and AI-native optimization converge to model, simulate, and operate next-generation 6G infrastructures.

This instructor-led, live training (available online or onsite) is designed for advanced-level professionals who aim to apply digital twin methodologies and AI techniques to design, validate, and optimize 6G network behavior within realistic, reproducible environments.

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

• Describe the role and architecture of digital twins in the lifecycle of 6G networks.
• Construct and configure digital twin models for RAN, transport, and edge compute components.
• Implement 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

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

6G represents the next generation of wireless networking, leveraging advancements from 5G to deliver ultra-low latency, massive throughput, pervasive intelligence, and integrated sensing for a new era of applications and services.

This instructor-led training, available online or onsite, is designed for beginner to intermediate professionals seeking to grasp the technical foundations, regulatory environment, and strategic business implications of 6G to inform planning and decision-making.

After completing this training, participants will be able to:

• Articulate core 6G concepts and distinguish them from 5G.
• Recognize key enabling technologies and their practical applications.
• Evaluate high-value use cases and industry sectors that 6G will unlock.
• Understand spectrum allocation, regulatory frameworks, and policy factors influencing 6G adoption.
• Create a high-level roadmap for 6G readiness within their organization.

Course Format

• Interactive lectures with conceptual walkthroughs.
• Case studies and industry-specific examples.
• Group workshop focused on developing an organizational 6G readiness outline.

Customization Options

• For customized training requests, please contact us to arrange.

This course provides a comprehensive overview of mobile subscriber services fundamentals and introduces Key Performance Indicators (KPIs) within NetAct, essential for monitoring and assuring mobile network performance.

Delivered by an instructor through live training (available online or onsite), this program targets intermediate-level network and OSS professionals seeking to master KPI data interpretation and leverage NetAct fundamentals to enhance performance management.

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

• Articulate the primary subscriber services and their influence on network behavior.
• Identify and interpret core NetAct KPIs related to voice, data, and signaling performance.
• Correlate KPI trends with common network faults and service degradations.
• Apply basic troubleshooting workflows utilizing KPI dashboards and reports.
• Recommend operational actions to enhance subscriber experience based on KPI analysis.

Format of the Course

• Interactive lectures and group discussions.
• Practical KPI analysis exercises using sample datasets.
• Case studies and guided troubleshooting scenarios.

Course Customization Options

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

This instructor-led, live training (online or onsite) targets beginner to intermediate telecom engineers and field professionals seeking to leverage structured deployment methodologies and industry best practices to successfully install, supervise, integrate, and manage multi-vendor wireless networks from 2G to 5G across operator and enterprise environments.

Upon completion of this training, participants will be capable of:

• Installing and configuring multi-vendor BTS systems (Huawei, ZTE, Ericsson) from 2G to 5G.
• Supervising site deployment activities and coordinating RF, transmission, power, civil, and core network teams during integration.
• Preparing telecom sites for ATP (Acceptance Test Procedure) and managing operator handover processes.
• Monitoring wireless KPIs and managing cluster-based and region-based network operations within commercial and technical reporting structures.