Role-Based Programme
RB1499

AI-Powered Network & Infrastructure Management

Intelligent Monitoring, Performance Optimisation & Infrastructure Automation

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Duration
32 Hours
Level
Advanced
Delivery
Instructor-Led
Format
Capability Development

Programme Objectives

  • Develop advanced capability to apply AI across network operations, infrastructure monitoring, troubleshooting, capacity planning, configuration management, and operational support.
  • Use AI to analyse network telemetry, device logs, performance metrics, infrastructure alerts, configuration data, incidents, and availability information.
  • Build repeatable AI-assisted workflows for network monitoring, fault analysis, capacity management, configuration review, incident coordination, and reporting.
  • Apply AI to identify recurring outages, performance degradation, infrastructure bottlenecks, configuration inconsistencies, abnormal traffic patterns, and automation opportunities.
  • Design responsible AI-enabled Network & Infrastructure Management workflows with appropriate controls for security, privileged access, change management, validation, rollback, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchNetwork Monitoring ToolsInfrastructure Monitoring PlatformsLog & Event AnalyticsConfiguration Management ToolsNetwork Performance AnalyticsCloud Infrastructure ToolsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

  • Network Managers
  • Network Engineers
  • Senior Network Engineers
  • Infrastructure Managers
  • Infrastructure Engineers
  • Network Administrators
  • Network Operations Engineers
  • NOC Analysts
  • NOC Engineers
  • Cloud Infrastructure Engineers
  • IT Operations Engineers
  • Network Support Engineers
  • Infrastructure Operations Professionals
  • Data Centre Infrastructure Professionals
  • Network & Infrastructure Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of networking, infrastructure operations, enterprise IT, cloud infrastructure, or network support
  • Familiarity with routers, switches, firewalls, network monitoring, logs, alerts, connectivity, and performance metrics
  • Basic proficiency with technical documentation, command-line environments, monitoring dashboards, and workplace productivity applications
  • No previous AI course attendance required
  • No advanced programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, network intelligence, and workflow automation
  • Mapping AI opportunities across network monitoring, infrastructure operations, troubleshooting, and reporting
  • Understanding AI assistance versus authorised infrastructure-management decisions
  • Recognising hallucination, security, privileged-access, and production-change risks
Practical activities
  • Mapping an existing Network & Infrastructure workflow
  • Comparing manual and AI-assisted infrastructure activities
  • Creating a Network & Infrastructure AI opportunity matrix

Scenarios

Network Outage to Controlled Service Restoration

Connectivity Alert → AI-Assisted Triage → Topology & Log Review → Fault Isolation → Root Cause Investigation → Recovery Action → Validation → Corrective Action → Knowledge Capture

Participants use AI-assisted techniques to investigate a simulated network outage, correlate infrastructure evidence, isolate the likely fault domain, coordinate controlled recovery, and document preventive actions.

Infrastructure Data to Intelligent Network Operations

Network Metrics + Device Logs + Alerts + Capacity Data + Configuration Records + Incidents → AI Analysis → Operational Risk Signals → Priority Actions → Automated Alerts & Routing → Infrastructure Dashboard → Operations Review

Participants design an AI-enabled Network & Infrastructure Management workflow that consolidates operational signals, identifies recurring connectivity and capacity risks, automates safe monitoring and follow-up, and strengthens infrastructure visibility while retaining privileged and production decisions with authorised IT professionals.

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