Mobile Networks Training in Tashkent

This instructor-led, live training in Tashkent (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.

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

Designed for advanced-level participants eager to understand and harness the emerging intersection of 6G technologies and IoT applications, this instructor-led training is available both online and onsite.

Upon completing this course, learners will be able to:

• Articulate the core technical concepts underlying 6G.
• Analyze how 6G will transform IoT device communication and architecture.
• Assess 6G-enabled IoT use cases across various industries.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-focused lectures paired with expert discussions.
• Practical exercises designed to reinforce key engineering principles.
• Guided exploration of cases and scenario analysis.

Customization Options

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

This instructor-led, live training (available online or onsite) targets executive-level professionals aiming to grasp the global 6G landscape, evaluate its commercial potential, and strategize early strategic investments.

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

• Spot emerging market trends and global initiatives influencing the 6G ecosystem.
• Comprehend regulatory frameworks and spectrum allocation schedules concerning IMT-2030.
• Assess the shifting vendor landscape and technology readiness stages.
• Formulate a roadmap for early investment, research collaborations, and pilot projects.

6G and the Intelligent Edge is a forward-looking course that explores the integration of 6G wireless technologies with edge computing, IoT ecosystems, and AI-driven data processing to support intelligent, low-latency, and adaptive infrastructures.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT architects who wish to understand and design next-generation distributed architectures leveraging the synergy of 6G connectivity and intelligent edge systems.

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

• Understand 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 for intelligent decision-making.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures.
• Evaluate business and operational models enabled by 6G-edge convergence.

Format of the Course

• 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.

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

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

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

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

5G represents the fifth generation of mobile network technology, delivering significantly faster speeds, reduced latency, and enhanced connection reliability for a diverse array of applications.

This instructor-led live training, available either online or on-site, 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 training, participants will be equipped with the knowledge and skills to:

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

Course Format

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

Customization Options

• Upon request, this course can be customized to emphasize specific industry applications or regional 5G deployment contexts.

The 6G-Ready Infrastructure and Network Design program is a specialized training initiative aimed at transforming existing telecommunications and enterprise networks to support the forthcoming era of wireless connectivity. By leveraging advanced architectural frameworks and engineering methodologies, the course addresses critical areas such as transport and fronthaul evolution, cloud-native and Open RAN architectures, edge and distributed computing, precise timing and synchronization, spectrum and RF readiness, as well as automation and AI-driven operations. It also provides practical strategies for migration tailored to operators and enterprises.

Delivered through live, instructor-led sessions (available online or on-site), this training is designed for intermediate-level telecom engineers and network architects who seek to design, optimize, and evolve their current 4G/5G infrastructure to satisfy the performance, scalability, and reliability demands of 6G.

After completing this course, participants will be capable of:

• Evaluating existing network infrastructure to identify gaps and assess readiness for 6G evolution.
• Architecting transport and fronthaul/backhaul solutions tailored for ultra-low latency and high throughput.
• Implementing cloud-native principles, integrating vRAN/O-RAN, and optimizing edge compute placement for 6G applications.
• Strategizing timing, synchronization, and RF enhancements necessary for mmWave/THz technologies and dense network deployments.
• Establishing testing, validation, and operational monitoring protocols to guarantee performance and reliability.
• Crafting phased migration and investment roadmaps that align with business objectives and risk management frameworks.

Course Format

• Technical lectures and in-depth architecture reviews.
• Case studies and design workshops.
• Practical labs utilizing simulation and verification tools.

Customization Options

• To request tailored training for this course, please contact us to arrange details.

This instructor-led live training in Tashkent (online or on-site) is designed for intermediate-level professionals who wish to understand and evaluate the behavior, scope, and deployment of 5G networks in technical environments.

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

• Analyze the behavior of 5G networks 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.

6G is the next-generation wireless networking paradigm that builds on 5G advances to enable ultra-low latency, extremely high throughput, pervasive intelligence, and integrated sensing capabilities for new classes of applications and services.

This instructor-led, live training (available online or on-site) is designed for beginner to intermediate-level professionals seeking to understand the technical foundations, regulatory landscape, and strategic business implications of 6G for effective planning and decision-making.

Upon completing this training, participants will be able to:

• Explain core 6G concepts and how they differ from 5G.
• Identify key enabling technologies and their practical implications.
• Assess high-value use cases and industry verticals that 6G will enable.
• Understand spectrum, regulatory, and policy considerations for 6G adoption.
• Draft a high-level 6G readiness roadmap for their organisation.

Course Format

• Interactive lectures with conceptual walkthroughs.
• Case studies and sector-specific examples.
• Group workshop to develop an organisational 6G readiness outline.

Course Customisation Options

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

This course provides a foundational understanding of mobile subscriber services and introduces Key Performance Indicators (KPIs) in NetAct, which are essential for monitoring and ensuring mobile network performance.

Designed for intermediate-level network and OSS professionals, this live, instructor-led training (available online or on-site) teaches participants how to interpret KPI data and leverage NetAct fundamentals to enhance performance management.

After completing this training, participants will be able to:

• Describe key subscriber services and their influence on network behavior.
• Identify and interpret core NetAct KPIs related to voice, data, and signaling performance.
• Link KPI trends to common network faults and service degradations.
• Utilize basic troubleshooting workflows via KPI dashboards and reports.
• Suggest operational actions to enhance subscriber experience based on KPI analysis.

Course Format

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

Customization Options

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

This training aims to clarify what 5G networks are and their influence on smart technologies. We will explore both the advantages and disadvantages of the relationship between these technologies (5G/IoT), as well as the developmental trajectories of networks originally designed for the smart world.

This instructor-led, live training (available online or onsite) targets beginner and intermediate telecom engineers and field professionals who wish to apply 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 completing 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 procedures.
• Monitor wireless KPIs and manage cluster-based and region-based network operations within commercial and technical reporting structures.