Computing, IT Systems, and Emerging Technologies South Africa

Network Planning and Optimisation Training Course

In today's hyper-connected digital economy, network performance is the backbone of business continuity, yet organizations struggle to bridge the gap between theoretical capacity and real-world throughput. As AI-driven automation and cloud-native workflows accelerate traffic volatility, legacy planning methods fail to predict demand spikes, leading to SLA breaches, congestion, and costly over-provisioning. Network Planning and Optimisation is the systematic discipline of modeling traffic demand, engineering capacity, and tuning routing to ensure networks meet performance targets under dynamic load. It enables professionals to calculate precise traffic matrices, optimize MPLS and IGP paths, and validate designs against failure scenarios using tools like NetFlow analysis and simulation engines.

This course bridges the gap between aspiration and evidence-based action for Network Architects, Capacity Planners, Traffic Engineers, and Senior Operations Managers who must deliver high-performance infrastructure under budget and regulatory constraints. You will leave with tangible artefacts: validated traffic models, optimized routing policies, and a capacity roadmap ready for executive review.

Duration
5 Days
Duration
Certificate
Certificate
Included
Delivery
Instructor-Led
Delivery
Level
Advanced
Level
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Live Online Training

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Weekend (4 Wks)
USD 1,050
Starts
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Mon - Fri (5 Days)
USD 1,050
Starts
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Weekend (4 Wks)
USD 1,050
Starts
Ends
Mon - Fri (5 Days)
USD 1,050
Starts
Ends
Mon - Fri (5 Days)
USD 1,050
Starts
Ends
Mon - Fri (5 Days)
USD 1,050
Starts
Ends
Mon - Fri (5 Days)
USD 1,050

Classroom Training

In-person sessions at premier locations

Nairobi Kenya
Mon - Fri
5 Days
USD 1,800
Kigali Rwanda
Mon - Fri
5 Days
USD 2,100
Dubai United Arab Emirates (UAE)
Mon - Fri
5 Days
USD 4,600
Zanzibar Tanzania
Mon - Fri
5 Days
USD 2,900
Customized Content
Team Training
Flexible Dates

In-person training at our premier venues — pick a city and date that works for you.

Location Duration Fee Language
Nairobi, Kenya Mon - Fri (5 Days) USD 1,800 English See dates & reserve →
Kigali, Rwanda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Dubai, United Arab Emirates (UAE) Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Zanzibar, Tanzania Mon - Fri (5 Days) USD 2,900 English See dates & reserve →
Abuja, Nigeria Mon - Fri (5 Days) USD 3,100 English See dates & reserve →
Addis Ababa, Ethiopia Mon - Fri (5 Days) USD 2,700 English See dates & reserve →
Mombasa, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →
Cape Town, South Africa Mon - Fri (5 Days) USD 4,200 English See dates & reserve →
Johannesburg, South Africa Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Kampala, Uganda Mon - Fri (5 Days) USD 2,100 English See dates & reserve →
Pretoria, South Africa Mon - Fri (5 Days) USD 3,600 English See dates & reserve →
Lagos, Nigeria Mon - Fri (5 Days) USD 2,500 English See dates & reserve →
Arusha, Tanzania Mon - Fri (5 Days) USD 2,000 English See dates & reserve →
Dar es Salaam, Tanzania Mon - Fri (5 Days) USD 2,094 English See dates & reserve →
Accra, Ghana Mon - Fri (5 Days) USD 3,800 English See dates & reserve →
Bangalore, India Mon - Fri (5 Days) USD 4,600 English See dates & reserve →
Muscat, Oman Mon - Fri (5 Days) USD 4,800 English See dates & reserve →
Naivasha, Kenya Mon - Fri (5 Days) USD 1,900 English See dates & reserve →

Live, instructor-led sessions you can join from anywhere — pick the next start date below.

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Our instructor comes to your office — same curriculum and accredited certificate, with case studies built around the work your team actually does.

Team Training

Train your entire team together in a familiar environment for better collaboration

Fully Customized

Content tailored to your industry, tools, and specific business challenges

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Choose dates that work best for your team's availability and projects

How It Works
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2
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3
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About the Course

Organizations demand networks that prove their value through measurable performance, yet many lack the structured capability to model demand, engineer capacity, or tune routing for peak efficiency. To succeed, you must demonstrate five core capabilities: constructing accurate traffic/demand matrices using NetFlow and interface measurements, applying MPLS and IGP traffic engineering techniques to balance load, simulating working and failure cases to validate resilience, optimizing link utilization thresholds to prevent congestion, and mapping SLAs to network planning targets for compliance. This course follows industry best practices from Tier 1 deployments, leveraging standards like ISO/IEC 27001 for security alignment and PPDIOO for lifecycle management.

This is a practical, outcome-driven course that transforms scattered knowledge into a structured optimisation system. You will gain the ability to calculate traffic matrices using regression procedures, design OSPF and BGP topologies for scalability, implement MPLS traffic engineering for strategic load balancing, conduct NetFlow collector analysis for demand deduction, simulate failure scenarios to test fault domains, optimize link utilization thresholds, validate SLA compliance, and build capacity roadmaps. Specifically, you will learn to model demand using mathematical procedures, engineer routes for strategic efficiency, and simulate failures to ensure resilience. Hands-on, you will build traffic matrices, optimize routing policies, and simulate failure cases; at an overview level, you will be introduced to MPLS concepts and simulation tools.

Real constraints in this domain include budget limitations for hardware upgrades, complex regulatory burdens for data sovereignty, technology adoption gaps in legacy environments, and competing priorities between security and performance. This course is designed for professionals who must deliver high-performance networks under these exact conditions, turning constraints into opportunities for strategic optimisation.


Target Audience

This course is designed for senior professionals responsible for designing, maintaining, and optimizing high-performance networks that support critical business operations.

  • Network Architect - Design enterprise campus and data center topologies
  • Capacity Planner - Model traffic demand and forecast infrastructure needs
  • Traffic Engineer - Optimize MPLS paths and balance link utilization
  • Senior Network Operations Manager - Oversee daily network performance and SLAs
  • IP Network Specialist - Configure routing protocols and troubleshoot congestion
  • Data Center Network Engineer - Design scalable virtualized network components
  • Wireless LAN Architect - Plan and optimize enterprise wireless coverage
  • Network Security Analyst - Integrate security policies into planning workflows
  • Cloud Infrastructure Engineer - Align network capacity with cloud workload demands
  • IT Infrastructure Director - Set strategic network investment and roadmap priorities

Course Objectives

This course equips you to model, engineer, and validate network planning initiatives that maximize throughput, ensure SLA compliance, and reduce operational costs.

  • Calculate precise traffic/demand matrices using NetFlow and interface regression procedures
  • Design OSPF and BGP routing topologies for scalability and fault domain isolation
  • Implement MPLS traffic engineering strategies to balance strategic load across links
  • Simulate working and failure network cases to validate resilience and fault tolerance
  • Optimize link utilization thresholds to prevent congestion while maintaining SLA targets
  • Map SLA requirements to network planning targets for compliance and performance assurance
  • Analyze traffic patterns using pmacct NetFlow collectors for demand deduction and estimation
  • Synthesize findings into a capacity roadmap and executive presentation for stakeholder buy-in

Requirements & Prerequisites

Prerequisites: Advanced working knowledge of IP routing (OSPF, BGP), Layer 2/3 switching, and subnetting. Participants must understand fundamental traffic engineering concepts and have experience with network monitoring tools (e.g., NetFlow, SNMP). No coding required, but familiarity with Excel for data analysis is essential. This course is designed for intermediate-to-advanced professionals; beginners should complete a foundational networking course first.


Local Application and Business Return in South Africa

How participants can apply the training in local operating conditions, and the return their organisation can plan for.

How participants apply this

Participants apply this course by building traffic models for South African branch, campus, and data-centre networks, then testing whether links, peering arrangements, and routing policies can support forecast demand. They use utilisation and flow data to identify bottlenecks, right-size capacity, and prioritise upgrades where they will reduce risk fastest. In operations, the same skills help teams interpret incidents more quickly and validate whether a failure, congestion event, or misrouted path is the real cause. For managers, the output is a practical capacity roadmap that supports budget requests and service-level decisions.

Expected ROI

Within 6–12 months, organisations usually see fewer avoidable congestion incidents and more accurate upgrade planning because capacity work is based on measured traffic rather than guesswork. The most visible gains are better SLA performance, fewer emergency changes, and less overspend on unnecessary bandwidth or hardware. Teams also improve change confidence because they can test routing and failure scenarios before implementation. For leaders, the main return is better trade-offs between resilience, performance, and network spend.

Training Methodology

This is a practical, outcome-driven course designed to turn network planning aspirations into measurable action and credible reporting.

Methodology includes:

  • Hands-on calculation of traffic matrices using NetFlow regression and interface data
  • Scenario simulation of working and failure cases to validate network resilience
  • Traffic engineering audit using MPLS and IGP optimization checklists
  • Stakeholder mapping exercise for SLA-to-planning target alignment
  • Case study analysis of Tier 1 deployments in IP and MPLS network planning
  • Group workshop producing a capacity roadmap under time and budget constraints
  • Reflection exercise challenging current practices using pmacct NetFlow benchmarks

Upcoming Sessions

Next available dates worldwide

Virtual

(Zoom) Training
USD 1,050
29th Jun-3rd Jul 2026

Nairobi

Kenya
USD 1,800
29th Jun-3rd Jul 2026

Kigali

Rwanda
USD 2,100
29th Jun-3rd Jul 2026

Dubai

United Arab Emirates (UAE)
USD 4,600
29th Jun-3rd Jul 2026

Addis Ababa

Ethiopia
USD 2,700
29th Jun-3rd Jul 2026

Zanzibar

Tanzania
USD 2,900
13th Jul-17th Jul 2026

Abuja

Nigeria
USD 3,100
20th Jul-24th Jul 2026

Mombasa

Kenya
USD 1,900
29th Jun-3rd Jul 2026

Cape Town

South Africa
USD 4,200
13th Jul-17th Jul 2026

Johannesburg

South Africa
USD 3,800
29th Jun-3rd Jul 2026

Pretoria

South Africa
USD 3,600
20th Jul-24th Jul 2026

Kampala

Uganda
USD 2,100
20th Jul-24th Jul 2026

Lagos

Nigeria
USD 2,500
29th Jun-3rd Jul 2026

Certification

Recognized credentials that advance your career

Participants who complete the Network Planning and Optimisation Training Program earn a Trainingcred Certificate of Achievement, demonstrating professional competence and alignment with global standards in learning and development.

NITA Accredited

Accredited by the National Industrial Training Authority, ensuring programs meet nationally recognized standards of quality and relevance.

CPD Certified

Recognized by the CPD Certification Service, ensuring every program meets internationally benchmarked standards of professional excellence.

Why this course earns its place on your CV

Accredited training, practitioner trainers, and peers on the same career track — the three things real expertise is built on.

Effective Learning & Skill Development

  • Build expertise with structured, outcome-driven learning.
  • Equip individuals and teams with skills that grow with industry needs.
  • Reinforce learning through real-world scenarios, case studies and practical exercises.

Career Growth & Professional Advancement

  • Apply what you learn with a proven methodology that ensures lasting impact.
  • Develop immediately usable skills that translate directly into workplace success.
  • Gain the expertise needed for career advancement and leadership roles.

Training Optimization & Learning Excellence

  • Tailor training to industry-specific challenges and organizational goals.
  • Use data-driven insights and automation to enhance training effectiveness.
  • Evaluate progress and ensure long-term learning success.

Tools and platforms relevant to this field

Examples South Africa teams may encounter, and that may be featured in training where they support the confirmed course scope.

6

These are field-relevant examples, not a promise that every tool will be covered. Exact coverage depends on the confirmed course scope, participant needs, and delivery format.

  • Cisco DNA Center Cisco
    Used for policy-driven network management, assurance, and visibility across enterprise environments.
  • SolarWinds Network Performance Monitor SolarWinds
    Used to monitor latency, congestion, and device health when validating capacity and troubleshooting bottlenecks.
  • Microsoft Azure Monitor Microsoft
    Used to observe cloud-connected workloads and network dependencies in hybrid environments.
  • Riverbed Modeler Riverbed
    Used for network simulation and scenario testing before changing routing or capacity designs.
  • Wireshark Wireshark Foundation
    Used for packet-level analysis when diagnosing throughput, retransmission, and path-quality issues.
  • NetFlow Analyzer ManageEngine
    Used to analyse traffic flows and identify heavy users, top applications, and utilisation trends.

Real Results from Real Professionals

Thousands of professionals have transformed their careers through our training programs. Now, it's your turn.

Local market advisory

Course relevance for South Africa

A country-specific view of market pressure, regulatory context, and practical business return behind this training.

  • Market context
  • Regulatory fit
  • Business application

Why this course matters in South Africa

A market-specific advisory on the operating pressures this course helps teams address.

Network planning and optimisation matters in South Africa because business operations now depend on resilient connectivity across cloud, data centre, mobile, and enterprise WAN environments, while capacity constraints and traffic volatility raise the risk of congestion and service degradation. For organisations running branch networks, service-provider backbones, or hybrid-cloud estates, this training helps convert performance data into defensible capacity and routing decisions. It is especially relevant for network engineering, capacity planning, operations, and architecture teams that must balance service quality, cost, and resilience.
Capacity decisions are now a cost-control issue

South African organisations that under-plan networks face avoidable congestion and SLA risk, while over-planning ties up capital in bandwidth, transport, and routing headroom that may not be needed.

Hybrid and cloud traffic patterns are less predictable

As more workloads shift between on-premises sites, cloud platforms, and remote users, planners need traffic modelling methods that can handle bursty demand rather than relying on static historical averages.

Resilience planning supports continuity across critical sectors

Banks, telecoms, logistics firms, retailers, and public-sector entities all depend on network availability, so optimisation skills directly support failover design, path engineering, and recovery planning.

This training is timely because South African organisations are operating in more connectivity-dependent service models while facing tighter expectations for uptime, cost discipline, and operational resilience. Network teams that can model demand, test failure scenarios, and tune routing policies are better placed to reduce outages and avoid unnecessary spend.

Frequently Asked Questions

Got questions? We've gathered the answers to common queries to help you feel confident and informed.

It is most useful for network architects, capacity planners, traffic engineers, and operations managers. It also benefits infrastructure leaders who need to approve capacity investment or redesign decisions.

No. The methods apply to enterprise WANs, campus networks, data-centre networks, and service-provider environments. The common thread is using traffic data and design models to improve performance and resilience.

Delegates should leave with traffic modelling methods, optimisation approaches for routing and capacity, and a clearer framework for prioritising network investments. In practice, that means more defensible upgrade plans and better incident-prevention decisions.

Yes. Hybrid networks create variable traffic patterns and more dependencies between sites and cloud services, so planning and optimisation skills are directly relevant. The course helps teams reason about those dependencies before they create performance problems.

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