Role-Based Programme
RB1498

AI-Powered Network & Infrastructure Management

Smarter Monitoring, Troubleshooting & Infrastructure Reliability

IMAGE REQUIRED
Duration
16 Hours
Level
Intermediate
Delivery
Instructor-Led
Format
Capability Training

Programme Objectives

  • Apply AI across Network and Infrastructure Management activities including monitoring, troubleshooting, configuration review, capacity planning, and operational reporting.
  • Use AI-assisted techniques to analyse network alerts, infrastructure metrics, logs, configuration information, incidents, and recurring performance issues more efficiently.
  • Develop structured workflows for network incident triage, infrastructure health monitoring, change coordination, capacity management, and service restoration.
  • Improve infrastructure reliability through AI-assisted anomaly identification, root-cause support, documentation, performance analysis, and preventive monitoring.
  • Apply responsible AI practices covering privileged access, configuration safety, sensitive technical data, cybersecurity, validation, and human oversight.

Tools covered

Generative AI AssistantsNetwork Monitoring AnalysisInfrastructure AnalyticsLog & Alert AnalysisConfiguration ReviewCapacity AnalysisIncident Management SupportTechnical DocumentationReporting AssistanceWorkflow Automation

Who should attend

  • Network Administrators
  • Network Engineers
  • Infrastructure Engineers
  • Network Operations Professionals
  • Infrastructure Operations Professionals
  • NOC Analysts
  • NOC Engineers
  • IT Infrastructure Managers
  • Cloud Infrastructure Professionals
  • System & Network Administrators
  • Technical Support Engineers
  • Network Support Professionals
  • Infrastructure Analysts
  • Information Technology Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of networking, infrastructure, IT operations, or technical support
  • Familiarity with network devices, connectivity, monitoring, alerts, logs, or infrastructure services is helpful
  • Basic understanding of IP networking and infrastructure concepts
  • Basic awareness of Generative AI is helpful
  • No advanced programming or AI knowledge required

TOC Modules

Concepts
  • Understanding Generative AI, analytics, automation, and their role in network and infrastructure operations
  • Identifying AI applications across monitoring, troubleshooting, configuration, capacity, and reporting
  • Understanding AI assistance versus Network and Infrastructure professional judgement
  • Recognising risks related to production systems, privileged access, sensitive configurations, and unsafe recommendations
Practical activities
  • Mapping network and infrastructure activities to AI-assisted opportunities
  • Identifying repetitive operational tasks suitable for AI support
  • Comparing traditional and AI-assisted infrastructure workflows

Scenarios

Network Performance Issue to Service Recovery

Network Alert → AI-Assisted Metric & Log Review → Dependency Analysis → Bottleneck Identification → Troubleshooting → Controlled Remediation → Validation → Monitoring

Participants analyse a simulated network-performance incident, organise operational evidence, identify likely causes, develop safe remediation actions, and prepare a controlled service-restoration and monitoring plan.

Infrastructure Data to Reliability & Capacity Improvement Plan

Availability Data + Network Metrics + Incidents + Capacity Information + Configuration Records → AI Analysis → Reliability Gaps → Bottlenecks → Priority Improvements → Management Report

Participants consolidate Network and Infrastructure information, identify recurring performance and reliability weaknesses, and prepare a management-ready improvement plan with actions, owners, and priorities.

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