6G and the Intelligent Edge Training Course

This instructor-led, live training in Uzbekistan (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.

6G is the upcoming wireless communication standard that is set to revolutionize IoT ecosystems through ultra-fast connectivity, advanced sensing, and integrated AI capabilities.

This instructor-led, live training (available online or on-site) is designed for advanced-level participants who want to understand and leverage the emerging convergence of 6G technologies and IoT applications.

By completing this course, learners will be able to:

• Explain the fundamental technical concepts behind 6G.
• Evaluate 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.

Format of the Course

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

Course Customization Options

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

The 6G-Ready Infrastructure and Network Design program is a specialized training designed to prepare existing telecom and enterprise networks for the next generation of wireless connectivity. This involves advanced architectural and engineering practices that cover transport and fronthaul evolution, cloud-native and open RAN approaches, edge and distributed computing, timing and synchronization, spectrum and RF readiness, automation, and AI-native operations. The course also includes practical migration strategies for operators and enterprises.

This live training, conducted by an instructor (either online or on-site), is tailored for 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 the gaps in their current network infrastructure and assess readiness for 6G evolution.
• Design transport and fronthaul/backhaul architectures that support ultra-low latency and high throughput.
• Implement cloud-native principles, vRAN/O-RAN integration, and edge compute placement to meet 6G use cases.
• Plan the necessary timing, synchronization, and RF upgrades 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 that aligns with business priorities and risk management.

Format of the Course

• Technical lectures and in-depth architecture discussions.
• Case studies and design workshops.
• Hands-on labs using 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 (online or onsite) is aimed at executive-level participants who wish to understand the global 6G landscape, assess its business potential, and plan early strategic investments.

By the end of this course, participants will gain the insights needed to:

• Identify emerging market trends and global initiatives shaping the 6G ecosystem.
• Understand regulatory and spectrum allocation timelines related to IMT-2030.
• Evaluate the evolving vendor landscape and technology readiness levels.
• Develop a roadmap for early investment, research partnerships, and pilot initiatives.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at advanced-level AI practitioners, researchers, and developers who wish to master the latest advancements in Edge AI, optimize their AI models for edge deployment, and explore specialized applications across various industries.

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

• Explore advanced techniques in Edge AI model development and optimization.
• Implement cutting-edge strategies for deploying AI models on edge devices.
• Utilize specialized tools and frameworks for advanced Edge AI applications.
• Optimize performance and efficiency of Edge AI solutions.
• Explore innovative use cases and emerging trends in Edge AI.
• Address advanced ethical and security considerations in Edge AI deployments.

The advanced and specialized course on AI and Digital Twins in 6G Networks delves into the integration of digital twin technology and AI-native optimization to model, simulate, and manage next-generation 6G infrastructures.

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

Upon completing this training, participants will be able to:

• Explain the role and architecture of digital twins throughout the lifecycle of 6G networks.
• Develop and configure digital twin models for RAN, transport, and edge computing components.
• Utilize AI/ML methods for closed-loop optimization, anomaly detection, and predictive maintenance of network elements.
• Integrate real-time telemetry and simulation data to support 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 in-depth architectural discussions.
• Hands-on labs with simulators, twin models, and ML toolchains.
• Case study reviews and a practical mini-project integration exercise.

Course Customization Options

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

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level developers, data scientists, and tech enthusiasts who wish to gain practical skills in deploying AI models on edge devices for various applications.

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

• Understand the principles of Edge AI and its benefits.
• Set up and configure the edge computing environment.
• Develop, train, and optimize AI models for edge deployment.
• Implement practical AI solutions on edge devices.
• Evaluate and improve the performance of edge-deployed models.
• Address ethical and security considerations in Edge AI applications.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at advanced-level cybersecurity professionals, AI engineers, and IoT developers who wish to implement robust security measures and resilience strategies for Edge AI systems.

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

• Understand security risks and vulnerabilities in Edge AI deployments.
• Implement encryption and authentication techniques for data protection.
• Design resilient Edge AI architectures that can withstand cyber threats.
• Apply secure AI model deployment strategies in edge environments.

Cambricon MLUs (Machine Learning Units) are specialized AI chips designed to optimize inference and training in both edge and datacenter environments.

This instructor-led, live training (available online or onsite) is tailored for intermediate-level developers who aim to build and deploy AI models using the BANGPy framework and Neuware SDK on Cambricon MLU hardware.

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

• Set up and configure the BANGPy and Neuware development environments.
• Develop and optimize Python- and C++-based models for Cambricon MLUs.
• Deploy models to edge and data center devices running the Neuware runtime.
• Integrate machine learning workflows with MLU-specific acceleration features.

Format of the Course

• Interactive lecture and discussion sessions.
• Hands-on use of BANGPy and Neuware for development and deployment tasks.
• Guided exercises focused on optimization, integration, and testing.

Course Customization Options

• To request a customized training based on your specific Cambricon device model or use case, please contact us to arrange.

Huawei's Ascend CANN toolkit facilitates robust AI inference on edge devices like the Ascend 310. This toolkit offers essential tools for compiling, optimizing, and deploying models in environments with limited compute and memory resources.

This instructor-led, live training (available both online and onsite) is designed for intermediate-level AI developers and integrators who want to deploy and optimize models on Ascend edge devices using the CANN toolchain.

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

• Prepare and convert AI models for deployment on the Ascend 310 using CANN tools.
• Construct lightweight inference pipelines with MindSpore Lite and AscendCL.
• Enhance model performance in settings with constrained compute and memory.
• Deploy and monitor AI applications in practical edge use cases.

Format of the Course

• Interactive lectures and demonstrations.
• Hands-on lab work with models and scenarios specific to edge devices.
• Live deployment examples on either virtual or physical edge hardware.

Course Customization Options

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

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 Uzbekistan (online or onsite) is aimed at beginner-level to intermediate-level agritech professionals, IoT specialists, and AI engineers who wish to develop and deploy Edge AI solutions for smart farming.

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

• Understand the role of Edge AI in precision agriculture.
• Implement AI-driven crop and livestock monitoring systems.
• Develop automated irrigation and environmental sensing solutions.
• Optimize agricultural efficiency using real-time Edge AI analytics.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level robotics engineers, autonomous vehicle developers, and AI researchers who wish to leverage Edge AI for innovative autonomous system solutions.

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

• Understand the role and benefits of Edge AI in autonomous systems.
• Develop and deploy AI models for real-time processing on edge devices.
• Implement Edge AI solutions in autonomous vehicles, drones, and robotics.
• Design and optimize control systems using Edge AI.
• Address ethical and regulatory considerations in autonomous AI applications.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level developers and IT professionals who wish to gain a comprehensive understanding of Edge AI from concept to practical implementation, including setup and deployment.

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

• Understand the fundamental concepts of Edge AI.
• Set up and configure Edge AI environments.
• Develop, train, and optimize Edge AI models.
• Deploy and manage Edge AI applications.
• Integrate Edge AI with existing systems and workflows.
• Address ethical considerations and best practices in Edge AI implementation.

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

This instructor-led, live training (available both online and onsite) is designed for professionals at beginner to intermediate levels who wish to grasp the technical foundations, regulatory landscape, and strategic business impacts of 6G to aid in planning and decision-making.

Upon completing this training, participants will be able to:

• Explain the core concepts of 6G and how they differ from those of 5G.
• Identify key enabling technologies and understand their practical implications.
• Evaluate high-value use cases and industry verticals that will be empowered by 6G.
• Understand the spectrum, regulatory, and policy considerations for adopting 6G.
• Develop a high-level roadmap for their organization's 6G readiness.

Format of the Course

• Interactive lectures with conceptual walkthroughs.
• Case studies and sector-specific examples.
• Group workshops to draft an organizational 6G readiness outline.

Course Customization Options

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