Mobile Subscriber Services & NetAct KPI Introduction Training Course

This instructor-led live training in Kenya (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.

The primary goal of this training is to demystify 5G networks and illustrate their profound impact on smart technologies. We aim to provide a balanced view of the advantages and disadvantages inherent in the synergy between 5G and the Internet of Things (IoT), while highlighting the developmental trajectory of networks designed specifically for the smart ecosystem.

This instructor-led, live training session in Kenya (available online or onsite) is designed for intermediate-level professionals aiming to understand and assess the behavior, scope, and implementation of 5G networks in technical environments.

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

• Analyze how 5G networks behave in clustered environments.
• Understand the RF environment specific to 5G technology.
• Evaluate practical 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, delivering faster speeds, reduced latency, and more reliable connections across a diverse array of applications.

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

Upon completion of this training, participants will acquire the knowledge and skills to:

• Grasp the key concepts and evolution of 5G technology.
• Identify the main components and architecture of 5G networks.
• Recognize the differences between 4G LTE and 5G in terms of performance and design.
• Evaluate 5G use cases and applications across industries.
• Assess 5G deployment strategies and regulatory considerations.

Format of the Course

• Interactive lecture and group discussion.
• Case studies and scenario-based exercises.
• Hands-on exploration of 5G network architecture through live demonstrations.

Course Customization Options

• This course can be tailored to focus on specific industry applications or regional 5G deployment contexts upon request.

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:

• Grasp how 6G will revolutionize edge computing and IoT architectures.
• Architect distributed systems tailored for ultra-low latency, high bandwidth, and autonomous operations.
• Incorporate AI and data analytics at the edge to enable intelligent decision-making.
• Plan scalable, secure, and resilient 6G-ready edge infrastructures.
• Assess 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.

6G represents the next generation of wireless communication standards, poised to revolutionize IoT ecosystems through ultra-high-speed connectivity, advanced sensing capabilities, and integrated AI functionalities.

This instructor-led live training, available both online and onsite, is designed for advanced-level participants seeking to comprehend and harness the emerging synergy between 6G technologies and IoT applications.

Upon completing this course, learners will acquire the ability to:

• Explain the fundamental technical concepts underpinning 6G.
• Assess how 6G will transform IoT device communication and architectural frameworks.
• Evaluate 6G-enabled IoT use cases across various industries.
• Develop strategies for integrating 6G capabilities into existing IoT solutions.

Course Format

• Concept-driven lectures supplemented by expert discussions.
• Practical exercises designed to reinforce key engineering principles.
• Guided case-based exploration and scenario analysis.

Customization Options

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

The "6G-Ready Infrastructure and Network Design" program is a specialized training initiative designed to equip existing telecommunications and enterprise networks with the advanced architectural and engineering practices necessary for the next generation of wireless connectivity. The curriculum encompasses the evolution of transport and fronthaul systems, cloud-native and Open RAN methodologies, edge and distributed computing, timing and synchronization protocols, spectrum and RF readiness, automation, and AI-driven operations, along with practical migration strategies for operators and enterprises.

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

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

• Evaluate existing network infrastructure to identify gaps and assess readiness for 6G evolution.
• Design transport and fronthaul/backhaul architectures optimized for ultra-low latency and high throughput.
• Implement cloud-native principles, vRAN/O-RAN integration, and edge compute placement tailored for 6G use cases.
• Plan timing, synchronization, and RF upgrades essential for mmWave/THz bands and dense network deployments.
• Establish testing, validation, and operational monitoring strategies to guarantee performance and reliability.
• Develop a phased migration and investment roadmap that aligns with business priorities and risk management protocols.

Course Format

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

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

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 potential, and strategize early investments.

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

• Recognize emerging market trends and global initiatives that are defining the 6G ecosystem.
• Comprehend regulatory frameworks and spectrum allocation timelines associated with IMT-2030.
• Assess the shifting vendor landscape and the current status of technology readiness.
• Formulate a roadmap for early investments, research collaborations, and pilot programs.

Artificial Intelligence and Digital Twins in 6G Networks is a specialised, advanced course that investigates how AI-native optimisation and digital twin technology converge to model, simulate, and manage next-generation 6G infrastructures.

This instructor-led live training (available online or onsite) targets advanced professionals seeking to apply digital twin methodologies and AI techniques to design, validate, and optimise 6G network behaviour in realistic, reproducible environments.

Upon completing this training, participants will be able to:

• Articulate the role and architecture of digital twins within the 6G network lifecycle.
• Construct and configure digital twin models for RAN, transport, and edge computing components.
• Deploy AI/ML methods for closed-loop optimisation, anomaly detection, and predictive maintenance of network elements.
• Integrate real-time telemetry and simulation data to facilitate model-driven orchestration and intent-based control.
• Design verification and validation workflows using co-simulation, emulation, and digital twin testbeds.

Course Format

• Technical lectures and in-depth architectural explorations.
• Practical labs utilising simulators, twin models, and ML toolchains.
• Case study walkthroughs and a practical mini-project integration exercise.

Course Customisation Options

• To request customised training for this course, please contact us to make arrangements.

6G represents the next generation of wireless networking, building upon 5G advancements to deliver ultra-low latency, extremely high data throughput, pervasive intelligence, and integrated sensing capabilities. These innovations open the door to new classes of applications and services.

This instructor-led live training (available online or onsite) is designed for beginner to intermediate-level professionals who want to grasp the technical foundations, regulatory landscape, and strategic business impacts of 6G to support effective planning and decision-making.

Upon completing this training, participants will be able to:

• Explain core 6G concepts and highlight how they differ from 5G.
• Identify key enabling technologies and understand 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 organization.

Format of the Course

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

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 beginner-level and intermediate-level telecom engineers and field professionals who wish to use 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.

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.