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.
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.
6G-Ready Infrastructure and Network Design is a specialized training program focused on preparing existing telecom and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering practices. It covers transport and fronthaul evolution, cloud-native and open RAN approaches, edge and distributed compute, timing and synchronization, spectrum and RF readiness, automation and AI-native operations, and practical migration strategies for operators and enterprises.
This instructor-led, live training (online or onsite) is aimed at intermediate-level telecom engineers and network architects who wish to design, optimize, and evolve their current 4G/5G infrastructure to meet 6G performance, scalability, and reliability requirements.
Upon completion of this course, participants will be able to:
Assess current network infrastructure gaps and 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.