AI Telecom Network Optimization and Assurance Course

Name: AI-Assisted Telecom Network Optimization and Assurance Course
Availability: InStock

Convert demand, telemetry, traffic forecasts, anomalies, and service objectives into validated network optimization decisions.

AI Telecom Network Optimization and Assurance Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Cairo, Johannesburg, Singapore, Accra, Riyadh, Jakarta and more
Next session: 12 – 16 October 2026, Cairo
Average fee: 7,550 €

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AI-Assisted Telecom Network Optimization and Assurance Course

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Overview

AI-Assisted Telecom Network Optimization and Assurance Course is a five-day foundation course for network planners, operations engineers, performance analysts, service-assurance teams, capacity planners, and technical managers, who leave with an AI-Assisted Telecom Network Optimization and Assurance Plan. Participants map demand and topology, prepare telemetry, forecast traffic, identify anomalies, evaluate capacity and routing options, connect performance to service objectives, validate recommendations, and monitor outcomes. Agile Leaders Training Center provides training in AI-assisted telecom network optimization and assurance.

Who Should Attend

Network planning teams responsible for demand, topology, and rollout choices
Operations teams responsible for network health and resource actions
Performance teams responsible for traffic, utilization, and quality indicators
Service-assurance teams responsible for degradation, incidents, and recovery
Capacity teams responsible for forecasts and investment timing
Technical managers responsible for approval, risk, and performance outcomes

The course assumes participants contribute to telecom planning, operations, performance, assurance, or capacity decisions and leaves out device configuration, coding AI models, radio-frequency design calculations, cybersecurity operations, and vendor-product administration.

Departments and Industries

The course supports AI-assisted network optimization and assurance across communications environments.

Broadband and mobile network planning functions
Network operations and service-assurance centers
Performance, capacity, and quality-management teams
Telecommunications and internet-service organizations
Cloud, data-center, and managed-network providers
Utilities, transport, and enterprise-network operators

Learning Objectives

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

Analyze network demand, topology, telemetry, and constraints
Build traffic and capacity forecasting assumptions
Evaluate anomaly, congestion, and degradation evidence
Compare capacity, topology, routing, and resource options
Use assurance, validation, and monitoring controls
Build a network optimization and assurance plan

Course Agenda

Day 1: Network Context and Objectives

Service, Demand, and Network Domain Map
Topology, Capacity, and Routing Baseline Canvas
QoS, QoE, SLA, and Cost Objective Register
AI Use-Case and Decision Boundary Matrix
Network Optimization Constraint and Risk Profile

Day 2: Telemetry and Traffic Forecasting

Traffic, Utilization, Alarm, and Experience Data Inventory
Telemetry Ownership, Provenance, and Quality Checklist
Demand Driver and Traffic Pattern Feature Sheet
Traffic Forecast Horizon and Scenario Model
Forecast Error, Confidence, and Drift Log

Day 3: Capacity and Network Optimization

Congestion, Bottleneck, and Anomaly Evidence Map
Capacity Requirement and Timing Forecast Board
Topology, Routing, and Resource Option Matrix
Cost, Performance, and Service Tradeoff Scorecard
Optimization Recommendation and Impact Simulation Sheet

Day 4: Service Assurance and Controls

Service Degradation and SLA Risk Classification Tree
Alarm Correlation and Root-Cause Hypothesis Card
Human Validation, Approval, and Rollback Checklist
Closed-Loop Action and Escalation Decision Table
Network Performance and Assurance Monitoring Dashboard

Day 5: Network Optimization Practice

Suggested Exercise: Map Network Demand and Objectives
Suggested Exercise: Prepare Telemetry and Forecast Traffic
Suggested Exercise: Compare Capacity and Optimization Options
Suggested Exercise: Validate Assurance Actions and Controls
Capstone Exercise: AI-Assisted Telecom Network Optimization and Assurance Plan

Practical Exercises

The course uses suggested activities that turn network evidence into governed optimization and assurance decisions.

Suggested activity: map services, demand, topology, capacity, routing, quality objectives, costs, constraints, and risks
Suggested activity: inventory telemetry, test data quality, define traffic features, build forecast scenarios, and record uncertainty
Suggested activity: diagnose congestion and anomalies, compare capacity and routing options, and simulate service impacts
Suggested activity: classify degradation, test root-cause hypotheses, validate actions, define rollback, and monitor outcomes

FAQs

Who suits AI-assisted telecom network optimization training?

AI-assisted telecom network optimization training suits planning, operations, performance, assurance, capacity, and technical-management teams. It assumes telecom network decision experience and requires no AI programming.

How does AI-assisted network optimization differ from hands-on network configuration training?

AI-assisted network optimization focuses on demand, telemetry, forecasts, anomalies, capacity, routing options, assurance, and monitored decisions. Configuration training focuses on device commands, protocols, interfaces, parameters, and product administration.

What data supports AI telecom network optimization?

Optimization may use traffic, utilization, topology, capacity, alarms, incidents, throughput, latency, availability, quality indicators, customer-experience measures, service commitments, costs, and recorded actions.

How should teams validate AI network optimization recommendations?

Teams should inspect data quality, assumptions, confidence, constraints, tradeoffs, simulated impacts, service risks, human approvals, rollback conditions, and post-action monitoring before closing the decision loop.

What belongs in an AI-Assisted Telecom Network Optimization and Assurance Plan?

The plan includes services, demand, topology, objectives, telemetry, forecasts, anomalies, capacity needs, options, tradeoffs, recommendations, simulations, assurance actions, approvals, rollback, owners, indicators, and monitoring.

Conclusion

Participants take back an AI-Assisted Telecom Network Optimization and Assurance Plan connecting demand, telemetry, forecasts, resource choices, service risks, and controls. The plan makes assumptions, tradeoffs, approvals, rollback, and performance evidence visible across network teams. It supports repeatable optimization decisions while retaining engineering judgment and service accountability.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 41-58 of 58 events

Location	Dates	Duration	Mode	Price
Sharm El-Sheikh	Week 25, 2027 21 – 25 June 2027	5 Days	Onsite	€5,200
Chicago	Week 25, 2027 27 June – 1 July 2027	5 Days	Onsite	€16,000
Vienna	Week 27, 2027 5 – 9 July 2027	5 Days	Onsite	€7,500
Tashkent	Week 27, 2027 11 – 15 July 2027	5 Days	Onsite	€8,000
Milan	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€7,000
Athens	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€7,500
Marbella	Week 29, 2027 25 – 29 July 2027	5 Days	Onsite	€6,500
Rome	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€6,500
Geneva	Week 31, 2027 8 – 12 August 2027	5 Days	Onsite	€8,000
Amman	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€6,000
Casablanca	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€6,000
San Diego	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€16,000
Porto	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€6,500
Frankfurt	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€6,500
Abu Dhabi	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€6,500
Muscat	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€6,500
Dubai	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€6,500
Seoul	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€12,000

Frequently asked questions

What does this course cover?

OverviewAI-Assisted Telecom Network Optimization and Assurance Course is a five-day foundation course for network planners, operations engineers, performance analysts, service-assurance teams, capacity planners, and technical managers, who leave with an AI-Assisted Telecom Network Optimization and Assurance Plan. Participants map demand and topology, prep…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI Telecom Network Optimization and Assurance Course