Role-Based Programme
RB1496

AI-Powered Network & Infrastructure Management

Smarter Monitoring, Troubleshooting & Infrastructure Operations

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Duration
4 Hours
Level
Awareness
Delivery
Instructor-Led
Format
Awareness Session

Programme Objectives

  • Understand how AI can support Network and Infrastructure Management across monitoring, troubleshooting, capacity planning, incident handling, and documentation.
  • Explore practical prompting techniques for alerts, logs, configurations, performance issues, and infrastructure support tasks.
  • Apply AI to organise technical information, identify possible causes, structure troubleshooting steps, and prepare operational outputs.
  • Identify opportunities to improve infrastructure visibility, response time, documentation quality, and operational efficiency.
  • Recognise security, access control, production safety, configuration validation, and human-review responsibilities when using AI.

Tools covered

Generative AI AssistantsAI-Assisted Network TroubleshootingInfrastructure MonitoringLog & Alert AnalysisConfiguration DocumentationCapacity & Performance SupportIncident SummarisationBasic Workflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Basic understanding of networks, infrastructure, servers, or IT operations
  • Familiarity with network devices, alerts, logs, connectivity issues, or infrastructure monitoring is helpful
  • Basic computer and technical skills
  • No advanced AI or programming knowledge required
  • No previous Generative AI experience required

TOC Modules

Concepts
  • Understanding Generative AI and its relevance to network and infrastructure operations
  • Identifying AI applications across monitoring, troubleshooting, configuration support, capacity, and documentation
  • Understanding AI assistance versus Network and Infrastructure professional judgement
  • Recognising production-sensitive and security-critical activities requiring human validation
Practical activities
  • Mapping common Network and Infrastructure activities to potential AI applications
  • Comparing a traditional infrastructure-support task with an AI-assisted approach

Scenarios

Network Alert to Troubleshooting & Escalation Plan

Network Alert → Logs & Symptoms → AI-Assisted Analysis → Possible Causes → Validation Steps → Resolution Options → Escalation Summary

Participants use AI to organise a sample network issue, analyse supplied alerts and logs, prepare troubleshooting steps, and create a structured escalation summary for authorised infrastructure teams.

Infrastructure Change to Readiness & Validation Checklist

Change Request → AI-Assisted Review → Dependencies → Risks → Pre-Checks → Implementation Considerations → Post-Checks → Rollback Plan

Participants use AI to review a sample infrastructure change, identify dependencies and operational risks, and prepare a structured validation checklist while retaining final implementation decisions with authorised IT professionals.

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