Web and Mobile Forensics Training Course

This instructor-led, live training in New Zealand (online or on-site) 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 optimised for low-latency applications in 5G environments.
• Implement real-time decision-making systems using Edge AI and 5G connectivity.
• Optimise AI workloads for efficient performance on edge devices.

The aim of this training is to explain what the 5G network is and the impact it has on smart technologies. We will explore both the advantages and disadvantages of these technological relationships (5G / IoT) and outline the network's development direction—since its inception, it has been designed specifically for the smart world.

This instructor-led, live training in New Zealand (online or on-site) is designed for business managers who need only the essential information to make informed decisions about adopting 5G. This course is not technical in nature; rather, it focuses on the strategic thinking required to prepare for the arrival of 5G. Both the technical and industry content will be tailored to suit the audience's needs.

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

• Identify the opportunities that 5G brings to the organisation.
• 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.
• Lead 5G initiatives that lead to improvements in customer service and operational efficiency.
• Develop a strategy for adopting 5G products and services within the organisation as well as across external partner organisations.

This instructor-led, live training in New Zealand (online or on-site) is aimed at intermediate-level professionals who wish to understand and evaluate the behaviour, scope, and implementation of 5G networks in technical environments.

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

• Analyse the behaviour 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 analyse 5G network quality parameters on a technical level.

This instructor-led, live training in New Zealand (available online or on-site) is intended for engineers who wish to understand the architectural components that make up 5G, so they can 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 virtualisation and network slicing.

5G is the fifth generation of mobile network technology, delivering faster speeds, reduced latency, and more reliable connections across a broad spectrum of applications.

This instructor-led, live training (available online or on-site) is designed for intermediate-level IT professionals and technical managers seeking a comprehensive understanding of the fundamentals, architecture, and business implications of 5G networks.

Upon completing this training, participants will gain the knowledge and skills to:

• Understand the core concepts and evolution of 5G technology.
• Identify the primary components and architecture of 5G networks.
• Recognise the differences between 4G LTE and 5G in terms of performance and design.
• Evaluate 5G use cases and applications across various industries.
• Assess 5G deployment strategies and regulatory considerations.

Course Format

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

Course Customisation Options

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

This instructor-led, live training in New Zealand (on-site or remote) is designed for engineers who wish to implement security policies and technologies to safeguard 5G wireless networks.

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

• Understand the 5G architecture and the testing challenges it presents.
• Select and utilise the technologies, tools, and applications available for 5G development and testing.
• Implement 5G testing practices to prevent failures across any component of a 5G network.
• Anticipate potential issues and optimise the performance of 5G systems.

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 customised training for this course, please contact us to arrange.

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

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

Upon completing this course, learners will be able to:

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

Course Format

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

Course Customisation Options

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

6G-Ready Infrastructure and Network Design is a specialist training programme designed to prepare existing telecommunications and enterprise networks for the next generation of wireless connectivity through advanced architectural and engineering practices. The course covers the evolution of transport and fronthaul networks, cloud-native and Open RAN approaches, edge and distributed computing, timing and synchronisation, spectrum and RF readiness, automation and AI-native operations, as well as practical migration strategies for operators and enterprises.

This instructor-led, live training (delivered online or on-site) is intended for intermediate-level telecommunications engineers and network architects who wish to design, optimise and evolve their current 4G/5G infrastructure to meet the performance, scalability and reliability requirements of 6G.

On 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, synchronisation, 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.

Course Format

• Technical lectures and in-depth architectural sessions.
• Case studies and design workshops.
• Hands-on labs using simulation and verification tools.

Course Customisation Options

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

This instructor-led, live training session (available online or in-person) is designed for executive-level participants who aim to grasp the global 6G landscape, evaluate its business potential, and formulate early strategic investment plans.

By the conclusion of this course, participants will have gained the insights necessary to:

• Identify emerging market trends and global initiatives that are shaping the 6G ecosystem.
• Understand regulatory frameworks and spectrum allocation timelines associated with IMT-2030.
• Assess the evolving vendor landscape and current technology readiness levels.
• Develop a strategic roadmap for early investment, research collaborations, and pilot projects.

AI and Digital Twins in 6G Networks is an advanced, specialised course that explores how digital twin technology and AI-native optimisation 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 optimise 6G network behaviour 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 optimisation, 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 Customisation Options

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

6G represents the next-generation paradigm for wireless networking, building upon 5G advancements to deliver ultra-low latency, exceptionally high throughput, pervasive intelligence, and integrated sensing capabilities tailored for emerging 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 grasp the technical foundations, regulatory landscape, and strategic business implications of 6G for informed 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 covers the fundamentals of mobile subscriber services and introduces the NetAct KPIs used to monitor and assure mobile network performance.

This instructor-led, live training (available online or on-site) is designed for intermediate-level network and OSS professionals who wish to interpret KPI data and apply NetAct fundamentals to support performance management.

Upon completing this training, participants will be able to:

• Explain key subscriber services and their impact on network behaviour.
• Identify and interpret core NetAct KPIs for voice, data, and signalling performance.
• Correlate KPI trends with common network faults and service degradations.
• Apply basic troubleshooting workflows using KPI dashboards and reports.
• Recommend operational actions to enhance subscriber experience based on KPI analysis.

Course Format

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

Course Customisation Options

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

This instructor-led, live training (online or on-site) 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.