Telecom Network Performance Engineering Course

Course Introduction

Telecommunications network performance engineering is essential for delivering reliable, high-capacity, secure, and efficient communication services across fixed, mobile, fiber, satellite, cloud, and converged network environments. As digital transformation accelerates and user expectations for always-on connectivity continue to rise, network operators must continuously optimize performance to maintain superior Quality of Service (QoS), Quality of Experience (QoE), operational efficiency, and customer satisfaction. This Telecom Network Performance Engineering Course equips participants with comprehensive technical knowledge and practical engineering skills required to measure, analyze, optimize, and continuously improve network performance across modern telecommunications infrastructures.

Modern telecommunications networks have evolved into highly distributed ecosystems comprising 5G radio access networks, fiber optic backbones, cloud-native core networks, edge computing platforms, Open RAN, software-defined networking, virtualization technologies, and Internet of Things (IoT) services. Managing performance across these interconnected environments requires sophisticated monitoring platforms, intelligent analytics, predictive modeling, automation, and engineering methodologies that ensure maximum availability, minimal latency, optimal throughput, and efficient utilization of network resources. Participants will gain practical expertise in applying these methodologies to optimize network performance and service delivery.

This course provides extensive coverage of performance engineering principles, network architecture optimization, traffic engineering, capacity planning, performance monitoring, KPI analysis, QoS implementation, QoE assessment, fault correlation, root cause analysis, benchmarking, congestion management, network analytics, and optimization strategies. Through practical laboratories, engineering simulations, and industry case studies, participants will learn to identify performance bottlenecks, optimize resource allocation, improve service reliability, and maximize network efficiency across multi-vendor telecommunications infrastructures.

Participants will also explore emerging technologies including Artificial Intelligence, Machine Learning, AIOps, predictive analytics, digital twins, autonomous networks, cloud-native performance management, intent-based networking, edge intelligence, Open RAN optimization, software-defined observability, and advanced automation. These technologies enable telecommunications operators to transition from reactive performance management to intelligent, predictive, and self-optimizing networks capable of supporting future communication demands while reducing operational complexity and maintenance costs.

Special emphasis is placed on engineering governance, cybersecurity performance considerations, regulatory compliance, resilience engineering, energy-efficient networking, sustainability, service assurance integration, and business continuity. Participants will examine international standards, engineering best practices, performance measurement frameworks, and operational methodologies that support resilient telecommunications infrastructure while ensuring compliance with evolving regulatory requirements and customer service expectations.

By the conclusion of this intensive course, participants will possess the expertise necessary to engineer, optimize, monitor, troubleshoot, and continuously improve telecommunications network performance across diverse technology environments. They will be prepared to lead performance optimization initiatives, implement intelligent monitoring solutions, improve customer experience, enhance infrastructure resilience, support next-generation communication technologies, and drive operational excellence through data-driven performance engineering strategies.

Duration

10 days

Who Should Attend

• Telecommunications Network Engineers
• Radio Network Optimization Engineers
• Core Network Engineers
• Fiber Optic Network Engineers
• Network Performance Engineers
• Network Operations Center Engineers
• Telecommunications Infrastructure Managers
• OSS Performance Specialists
• Cloud Network Engineers
• 5G Network Engineers
• Telecommunications Consultants
• ICT Infrastructure Professionals
• Service Assurance Engineers
• Network Planning Engineers
• Telecommunications Project Managers

Course Objectives

• Develop comprehensive knowledge of telecommunications network performance engineering principles, methodologies, standards, and best practices supporting reliable digital communication services.
• Design scalable performance engineering frameworks integrating monitoring, analytics, optimization, automation, and operational governance across complex telecommunications infrastructures.
• Implement advanced network performance monitoring systems capable of collecting, analyzing, correlating, and visualizing operational metrics across fixed, mobile, fiber, and cloud environments.
• Apply Quality of Service and Quality of Experience methodologies to improve customer satisfaction, application performance, service reliability, and telecommunications operational excellence.
• Engineer capacity planning and traffic management strategies that maximize bandwidth utilization, minimize congestion, and support sustainable telecommunications network expansion.
• Utilize Artificial Intelligence, Machine Learning, AIOps, predictive analytics, and automation technologies to proactively identify performance degradation and optimize network operations.
• Conduct root cause analysis, fault correlation, benchmarking, and performance troubleshooting using engineering methodologies that accelerate issue resolution and service restoration.
• Optimize radio access networks, transport networks, core infrastructure, cloud-native platforms, and edge computing environments for superior operational efficiency and resilience.
• Integrate cybersecurity performance monitoring, resilience engineering, business continuity planning, and disaster recovery principles into comprehensive network performance management programs.
• Evaluate emerging technologies including Open RAN, autonomous networking, digital twins, intent-based networking, and software-defined observability for future telecommunications optimization.
• Develop engineering dashboards, performance reports, KPI frameworks, and executive performance metrics supporting operational transparency and evidence-based decision-making.
• Design enterprise network performance improvement roadmaps aligning technology modernization, operational efficiency, customer experience, sustainability, and strategic organizational objectives.

Course Outline

Module 1: Fundamentals of Telecom Network Performance Engineering

• Understanding network performance engineering principles supporting reliable telecommunications operations.
• Evolution of telecommunications performance management across traditional and digital network environments.
• Key performance indicators measuring network efficiency, reliability, availability, and service quality.
• International standards and engineering best practices governing telecommunications performance management.

Module 2: Telecommunications Network Architecture Performance

• Evaluating network architectures for optimal throughput, resilience, scalability, and operational efficiency.
• Performance characteristics of access, transport, core, cloud, and edge communication networks.
• Infrastructure optimization supporting resilient multi-vendor telecommunications deployments.
• Engineering methodologies for improving end-to-end communication service performance.

Module 3: Network Monitoring and Observability

• Deploying monitoring platforms supporting continuous telecommunications infrastructure visibility and analytics.
• Collecting telemetry, logs, metrics, and traces for comprehensive network performance assessment.
• Observability frameworks supporting proactive operational intelligence and rapid issue detection.
• Integrating monitoring systems across cloud-native, virtualized, and hybrid network environments.

Module 4: Key Performance Indicators and Benchmarking

• Designing KPI frameworks supporting measurable telecommunications operational excellence initiatives.
• Benchmarking network performance against industry standards and regulatory performance requirements.
• Performance reporting methodologies supporting executive decision-making and operational transparency.
• Continuous performance evaluation supporting infrastructure optimization and strategic planning.

Module 5: Traffic Engineering and Capacity Planning

• Engineering traffic management strategies maximizing network efficiency and service availability.
• Capacity forecasting supporting sustainable infrastructure investment and technology modernization initiatives.
• Congestion analysis methodologies minimizing bottlenecks and improving network responsiveness.
• Load balancing techniques supporting optimal utilization of telecommunications resources.

Module 6: Quality of Service and Quality of Experience

• Implementing Quality of Service mechanisms supporting priority-based telecommunications traffic management.
• Measuring Quality of Experience using customer-centric operational performance indicators.
• Optimizing latency, jitter, packet loss, and throughput for superior communication quality.
• Service assurance integration supporting continuous improvement of customer communication experiences.

Module 7: Performance Optimization Techniques

• Identifying performance bottlenecks affecting telecommunications infrastructure efficiency and reliability.
• Engineering optimization methodologies improving network utilization and operational effectiveness.
• Configuration tuning supporting consistent communication quality across diverse environments.
• Resource allocation strategies maximizing performance while controlling operational costs.

Module 8: Artificial Intelligence and Predictive Analytics

• Applying Artificial Intelligence to automate telecommunications performance monitoring and optimization.
• Machine learning algorithms supporting anomaly detection and predictive performance management.
• Predictive analytics identifying emerging performance risks before customer service degradation occurs.
• Intelligent automation improving engineering efficiency and operational responsiveness.

Module 9: 5G, Open RAN, and Cloud Performance Engineering

• Optimizing 5G radio access networks supporting high-capacity digital communication services.
• Performance engineering for Open RAN interoperability and intelligent network management.
• Cloud-native network optimization supporting scalable telecommunications service delivery.
• Edge computing performance management supporting ultra-low latency communication applications.

Module 10: Core Network and Transport Performance

• Engineering core network optimization supporting resilient and high-capacity communication services.
• Transport network performance management across optical, IP, and Ethernet infrastructures.
• Routing optimization supporting efficient traffic delivery and reduced operational latency.
• Performance tuning methodologies improving end-to-end telecommunications infrastructure efficiency.

Module 11: Fault Management and Root Cause Analysis

• Implementing fault correlation methodologies supporting intelligent incident identification and prioritization.
• Root cause analysis techniques accelerating network restoration and operational improvement.
• Performance troubleshooting workflows minimizing service interruptions and operational risks.
• Continuous incident analysis supporting long-term telecommunications reliability enhancement.

Module 12: Network Automation and Autonomous Operations

• Deploying automation frameworks supporting intelligent telecommunications performance management.
• Intent-based networking supporting policy-driven infrastructure optimization and service assurance.
• Closed-loop automation improving network responsiveness and operational consistency.
• Autonomous networking concepts supporting self-optimizing communication infrastructures.

Module 13: Cybersecurity, Resilience, and Compliance

• Integrating cybersecurity performance monitoring into telecommunications engineering operations effectively.
• Network resilience engineering supporting reliable communication during operational disruptions.
• Regulatory compliance frameworks affecting telecommunications performance measurement and reporting.
• Business continuity planning strengthening operational readiness and infrastructure resilience.

Module 14: Sustainability and Energy-Efficient Networking

• Optimizing telecommunications infrastructure for reduced energy consumption and operational sustainability.
• Green networking strategies supporting environmentally responsible telecommunications engineering.
• Measuring infrastructure efficiency using sustainability and environmental performance indicators.
• ESG integration supporting responsible telecommunications network modernization initiatives.

Module 15: Emerging Technologies and Future Performance Engineering

• Digital twin technologies supporting telecommunications simulation, optimization, and predictive analysis.
• Software-defined observability enhancing intelligent infrastructure monitoring and operational insights.
• Preparing network performance strategies for 6G, quantum networking, and future communication ecosystems.
• Innovation management supporting continuous advancement in telecommunications engineering practices.

Module 16: Capstone Project and Performance Engineering Strategy

• Designing a comprehensive telecommunications network performance optimization strategy addressing enterprise operational requirements.
• Developing implementation roadmaps integrating monitoring, analytics, automation, resilience, governance, and continuous improvement initiatives.
• Evaluating engineering outcomes using KPIs, Quality of Service metrics, customer experience indicators, and operational performance benchmarks.
• Presenting capstone projects demonstrating advanced expertise in telecommunications network performance engineering, optimization, and strategic leadership.

Training Approach          

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue 

The training will be held at our Upskill Training Centre. We also offer training for a group (at a discount of 10% to 50%) at requested location all over the world. The Onsite course fee covers the course tuition, training materials, two break refreshments, buffet lunch, airport transfers, Upskill gift package, and guided tour.

Visa application, travel expenses, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment:

Unless otherwise agreed between the two parties’ payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better.