Role-Based Programme
RB1497

AI-Powered Network & Infrastructure Management

Smarter Monitoring, Troubleshooting, Capacity & Reliability

IMAGE REQUIRED
Duration
8 Hours
Level
Basic
Delivery
Instructor-Led
Format
Workshop

Programme Objectives

  • Understand how AI can support Network and Infrastructure Management across monitoring, troubleshooting, configuration review, capacity planning, and operational reporting.
  • Apply AI-assisted techniques to analyse network alerts, logs, performance data, incidents, configurations, and infrastructure health information.
  • Use structured prompting for fault analysis, incident summarisation, capacity review, configuration assessment, and technical documentation.
  • Explore AI-supported approaches for identifying recurring failures, performance degradation, utilisation concerns, and infrastructure improvement opportunities.
  • Build responsible AI-assisted network and infrastructure workflows while maintaining security, reliability, change control, data accuracy, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchNetwork Monitoring AILog & Event AnalysisInfrastructure Performance AnalysisConfiguration ReviewIncident AnalysisCapacity PlanningReporting & Workflow Automation

Who should attend

  • Network Administrators
  • Network Engineers
  • Infrastructure Engineers
  • IT Infrastructure Professionals
  • Network Operations Center Analysts
  • NOC Engineers
  • Infrastructure Administrators
  • Systems Engineers
  • Cloud Infrastructure Professionals
  • IT Operations Professionals
  • Network Support Engineers
  • Technical Support Engineers
  • Infrastructure Managers
  • Network & Infrastructure Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of networking, infrastructure, or IT operations
  • Familiarity with network devices, monitoring, alerts, logs, connectivity, or infrastructure support is helpful
  • Basic computer and command-line awareness is beneficial
  • No AI or advanced programming knowledge required
  • No previous AI training required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to network and infrastructure operations
  • Identifying AI applications across monitoring, troubleshooting, configuration, capacity, and reporting
  • Understanding AI assistance versus Network and Infrastructure Engineer judgement
  • Recognising limitations such as incomplete topology context, incorrect assumptions, and unsafe technical recommendations
Practical activities
  • Mapping a typical Network & Infrastructure Management workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a traditional infrastructure task with an AI-assisted approach

Scenarios

Network Performance Alert to Validated Resolution

Performance Alert → AI-Assisted Evidence Review → Logs & Metrics → Diagnostic Questions → Possible Causes → Engineer Validation → Resolution → Verification

Participants use AI to organise sample network-monitoring information, identify investigation areas, and prepare a structured troubleshooting workflow for technical validation.

Infrastructure Data to Capacity & Reliability Plan

Utilisation + Availability + Incidents + Performance Metrics → AI Analysis → Bottlenecks → Recurring Issues → Capacity Priorities → Improvement Plan → Management Report

Participants use AI to analyse sample network and infrastructure data, identify reliability and capacity concerns, and prepare a management-ready infrastructure improvement plan.

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