Web and Mobile Forensics Training Course

This instructor-led, live training in Norway (online or onsite) is designed for intermediate-level telecom professionals, AI engineers, and IoT specialists keen on understanding how 5G networks accelerate Edge AI applications.

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

• Grasp the fundamentals of 5G technology and its influence on Edge AI.
• Deploy AI models tailored for low-latency applications within 5G environments.
• Implement real-time decision-making systems leveraging Edge AI and 5G connectivity.
• Optimize AI workloads to ensure efficient performance on edge devices.

This training aims to clarify what the 5G network is and its impact on smart technologies. We will examine both the advantages and disadvantages of the relationship between these technologies (5G / IoT) and explore the developmental directions of a network that has been dedicated to the smart world from its inception.

This instructor-led live training in Norway (online or onsite) is aimed at business managers who wish to learn only the critical information needed to make important decisions about the adoption of 5G. This course is not a technical course but rather a course on the strategic thinking needed to prepare for the arrival of 5G. The technical coverage and industry coverage will be adapted to the audience.

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

• Identify the opportunities that 5G brings to the organization.
• 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.
• Head up 5G initiatives that lead to improvements in customer service and operational efficiency.
• Initiate a strategy for adopting 5G products and services within the organization as well as across external partner organizations.

This instructor-led live training in Norway (available online or onsite) is designed for intermediate-level professionals seeking to understand and evaluate the behavior, scope, and implementation 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.

This instructor-led live training in Norway (online or onsite) is designed for engineers who wish to understand the architectural components that constitute 5G, allowing them to start implementing their own solutions on this groundbreaking network.

By the conclusion of this training, participants will be capable of:

• Learning the fundamentals of 5G.
• Understanding 5G architecture and standards.
• Performing network function virtualization and network slicing.

5G represents the fifth generation of mobile network technology, facilitating higher speeds, reduced latency, and more dependable connections for a broad spectrum 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 gain the knowledge and skills to:

• Understand 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.

This instructor-led, live training in Norway (onsite or remote) is designed for engineers who wish to implement security policies and technologies to secure 5G wireless networks.

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

• Comprehend the 5G architecture and the testing challenges it presents.
• Choose and employ the technology, tools, and applications available for 5G development and testing.
• Apply 5G testing practices to prevent failures across all elements of a 5G network.
• Anticipate issues and optimize 5G performance.

6G and the Intelligent Edge is an innovative course that investigates the convergence of 6G wireless technologies, edge computing, IoT ecosystems, and AI-powered data processing to build intelligent, adaptive, and low-latency infrastructures.

This instructor-led live training (available online or onsite) targets intermediate-level IT architects looking to master and design next-generation distributed architectures that leverage the combined strengths of 6G connectivity and intelligent edge systems.

After completing this course, participants will be able to:

• Grasp how 6G will revolutionize edge computing and IoT architectures.
• Develop distributed systems for autonomous operations, high bandwidth, and ultra-low latency.
• Implement AI and data analytics at the edge to enable intelligent decision-making.
• Architect scalable, secure, and resilient edge infrastructures prepared for 6G.
• Assess the business and operational models facilitated by the convergence of 6G and edge computing.

Course Format

• Interactive lectures and discussions.
• Case studies and applied architecture design exercises.
• Hands-on simulation using optional edge or container tools.

Course Customization Options

• For customized training arrangements, please contact us.

6G represents the subsequent generation of wireless communication standards, poised to revolutionize IoT ecosystems through ultra-high-speed connectivity, sophisticated sensing capabilities, and seamlessly integrated AI functions.

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

Upon completion of this course, learners will be equipped to:

• Articulate the fundamental technical principles underpinning 6G.
• Analyze how 6G will transform IoT device communication and structural frameworks.
• Evaluate 6G-enabled IoT use cases across various sectors.
• Develop strategies for incorporating 6G capabilities into current IoT solutions.

Course Format

• Concept-driven lectures alongside expert-led discussions.
• Practical exercises designed to reinforce core engineering principles.
• Guided exploration of case studies and scenario analysis.

Course Customization Options

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

The course on Infrastructure and Network Design for 6G Readiness is a specialized training initiative designed to equip existing telecom 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 networks, cloud-native and open RAN methodologies, edge and distributed computing, precise timing and synchronization, spectrum and RF preparedness, automation alongside AI-native operations, and practical migration strategies tailored for operators and enterprise clients.

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

Upon completing this course, participants will be able to:

• Evaluate current network infrastructure gaps and assess readiness for 6G evolution.
• Architect transport and fronthaul/backhaul solutions suitable for ultra-low latency and high throughput.
• Implement cloud-native principles, vRAN/O-RAN integration, and strategic edge compute placement for 6G applications.
• Plan the necessary timing, synchronization, and RF upgrades required for mmWave/THz frequencies and dense network deployments.
• Establish testing, validation, and operational monitoring strategies to guarantee performance and reliability.
• Create a phased migration and investment roadmap aligned with business priorities and risk management.

Course Format

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

Customization Options for the Course

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

This guided, live training session (available online or on-site) is designed for executive participants seeking to comprehend the global 6G landscape, evaluate its commercial potential, and schedule initial strategic investments.

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

• Recognize emerging market trends and global initiatives influencing the 6G ecosystem.
• Comprehend regulatory frameworks and spectrum allocation schedules associated with IMT-2030.
• Assess the changing vendor market and technology maturity levels.
• Formulate a roadmap for early investment, research alliances, and pilot projects.

The course on AI and Digital Twins in 6G Networks provides an in-depth exploration of how digital twin technology and AI-native optimization converge to model, simulate, and manage next-generation 6G infrastructures.

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

After completing this training, participants will be able to:

• Describe the role and architecture of digital twins within the lifecycle of 6G networks.
• Construct and configure digital twin models for RAN, transport, and edge compute 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 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 represents the next evolution in wireless networking, building upon the advancements of 5G to deliver ultra-low latency, extremely high throughput, pervasive intelligence, and integrated sensing capabilities for a new range of applications and services.

This instructor-led live training, available online or onsite, is designed for beginner to intermediate-level professionals seeking to understand the technical foundations, regulatory landscape, and strategic business impacts of 6G to inform planning and decision-making.

After completing this training, participants will be able to:

• Describe 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 enabled by 6G.
• Understand spectrum, regulatory, and policy considerations for 6G adoption.
• Draft a high-level 6G readiness roadmap for their organization.

Course Format

• 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 course provides a comprehensive look at the fundamentals of mobile subscriber services and introduces Key Performance Indicators (KPIs) in NetAct, essential for monitoring and ensuring mobile network performance.

Delivered as live, instructor-led training—available either online or onsite—this program targets intermediate-level network and OSS professionals aiming to master KPI data interpretation and leverage NetAct fundamentals to enhance performance management.

After completing this training, participants will be equipped to:

• Describe essential subscriber services and their influence on network behavior.
• Identify and interpret fundamental NetAct KPIs related to voice, data, and signaling performance.
• Connect KPI trends with typical network faults and service degradations.
• Execute basic troubleshooting processes using KPI dashboards and reports.
• Suggest operational improvements to boost subscriber experience based on KPI analysis.

Course Format

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

Customization Options

• For requests regarding customized training for this course, please get in touch with us to arrange details.

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