Web and Mobile Forensics Training Course

This instructor-led, live training in Sweden (online or onsite) is designed for intermediate-level telecom professionals, AI engineers, and IoT specialists interested in exploring how 5G networks enhance Edge AI applications.

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

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

This training aims to clarify what 5G networks are and how they influence smart technologies. We will explore both the benefits and limitations of the synergy between 5G and IoT, while outlining the developmental trajectory of a network designed from the outset for the smart world.

This instructor-led live training in Sweden (online or onsite) targets business managers who need only the critical information required to make pivotal decisions regarding 5G adoption. This is not a technical course but rather a focus on the strategic mindset needed to prepare for the arrival of 5G. The technical 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 Sweden (online or onsite) is aimed at intermediate-level professionals who wish 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 Sweden (online or on-site) is designed for engineers who wish to comprehend the architectural components that constitute 5G, enabling them to start building their own solutions on this pioneering network.

Upon completing this training, participants will be able to:

• Master the fundamentals of 5G.
• Gain insight into 5G architecture and standards.
• Execute network function virtualization and network slicing.

5G represents the fifth generation of mobile network technology, designed to deliver higher speeds, reduced latency, and enhanced connection reliability across a diverse array of applications.

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

After completing this course, participants will acquire the knowledge and skills to:

• Grasp the core concepts and evolution of 5G technology.
• Identify the primary components and architecture of 5G networks.
• Distinguish between 4G LTE and 5G regarding 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.

Customization Options

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

This instructor-led, live training in Sweden (onsite or remote) is designed for engineers who wish to implement security policies and technologies to secure 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 utilize the technology, tools, and applications available for 5G development and testing.
• Implement 5G testing practices to prevent failures at any of the different elements of a 5G network.
• Predict problems and optimize performance of 5G.

This forward-thinking course delves into how 6G wireless technology converges with edge computing, IoT ecosystems, and AI-powered data processing to build intelligent, low-latency, and adaptive infrastructures.

Delivered via live, instructor-led sessions (available online or onsite), this program is designed for intermediate-level IT architects seeking to grasp and architect next-generation distributed systems by harnessing the combined power of 6G connectivity and intelligent edge platforms.

After completing this course, participants will be equipped to:

• Grasp how 6G will reshape edge computing and IoT architectures.
• Architect distributed systems capable of ultra-low latency, high bandwidth, and autonomous functions.
• Implement AI and data analytics at the edge to enable smart decision-making.
• Develop scalable, secure, and resilient 6G-ready edge infrastructures.
• Assess business and operational models that arise from the convergence of 6G and edge networks.

Course Format

• Interactive lectures and group discussions.
• Case studies and hands-on architecture design exercises.
• Practical simulations using optional edge or container-based tools.

Customization Options

• For tailored training arrangements for this course, please reach out to us.

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

This instructor-led live training (available online or onsite) is designed for advanced participants seeking to understand and harness the emerging convergence of 6G technologies and IoT applications.

Upon completing this course, learners will be able to:

• Articulate the fundamental technical principles underlying 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.

Course Format

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

Customization Options

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

Infrastructure and Network Design Prepared for 6G is a specialized training programme dedicated to equipping existing telecom and enterprise networks for the forthcoming era of wireless connectivity through sophisticated architectural and engineering methodologies. The curriculum encompasses the evolution of transport and fronthaul networks, cloud-native and Open RAN methodologies, edge and distributed computing, timing and synchronization protocols, spectrum and RF preparedness, automation and AI-driven operations, alongside practical migration strategies for operators and enterprises.

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

Upon completing this course, participants will be capable of:

• Evaluating current network infrastructure deficiencies and assessing readiness for 6G evolution.
• Designing transport and fronthaul/backhaul architectures tailored for ultra-low latency and high throughput.
• Implementing cloud-native principles, vRAN/O-RAN integration, and edge compute placement for 6G use cases.
• Planning the timing, synchronization, and RF upgrades necessary for mmWave/THz and dense deployments.
• Establishing testing, validation, and operational monitoring strategies to guarantee performance and reliability.
• Developing a phased migration and investment roadmap aligned with business priorities and risk management.

Course Format

• Technical lectures and deep dives into architecture.
• Case studies and design workshops.
• Practical labs utilizing simulation and verification tools.

Course Customization Options

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

This guided, live training session (available online or on-site) is designed for executive participants aiming to comprehend the worldwide 6G context, evaluate its commercial prospects, and strategize early strategic commitments.

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

• Recognize emerging market tendencies and international efforts influencing the 6G environment.
• Comprehend regulatory frameworks and spectrum assignment schedules associated with IMT-2030.
• Assess the changing vendor environment and technological preparedness stages.
• Formulate a plan for early funding, research collaborations, and pilot projects.

The course 'AI and Digital Twins in 6G Networks' is an advanced, specialized program that investigates how AI-native optimization and digital twin technology converge to model, simulate, and manage next-generation 6G infrastructure.

This instructor-led live training, available either online or onsite, is designed for senior professionals who aim to apply digital twin methodologies and AI techniques to design, validate, and optimize 6G network behavior within realistic and reproducible environments.

Upon completing this training, participants will be able to:

• Describe the role and architecture of digital twins throughout the 6G network lifecycle.
• Construct 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 facilitate model-driven orchestration and intent-based control.
• Develop validation and verification workflows using co-simulation, emulation, and digital twin testbeds.

Course Format

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

Customization Options

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

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

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to understand the technical foundations, regulatory landscape, and strategic business impacts of 6G for planning and decision-making.

Upon completion of 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 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 course provides an in-depth look at the fundamentals of mobile subscriber services alongside an introduction to NetAct Key Performance Indicators (KPIs) utilized for monitoring and ensuring mobile network performance.

This instructor-led, live training session, available either online or on-site, is designed for intermediate-level network and OSS professionals who aim to interpret KPI data and leverage NetAct fundamentals to enhance performance management.

Upon completing this training, participants will be capable of:

• Describing key subscriber services and their influence on network behavior.
• Identifying and interpreting core NetAct KPIs related to voice, data, and signaling performance.
• Correlating KPI trends with common network faults and service degradations.
• Applying basic troubleshooting workflows utilizing KPI dashboards and reports.
• Recommending operational actions to improve subscriber experience based on KPI analysis.

Course Format

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

Course Customization Options

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

This live, instructor-led training (online or onsite) targets beginner to intermediate 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.