Role-Based Programme
RB1502

AI-Powered System Administration

Smarter Infrastructure Operations, Troubleshooting & Automation

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

Programme Objectives

  • Apply AI across System Administration activities including monitoring, configuration management, troubleshooting, patching, access administration, and documentation.
  • Use AI-assisted techniques to analyse system logs, alerts, resource utilisation, configuration information, recurring incidents, and operational records more efficiently.
  • Develop structured workflows for system health monitoring, incident triage, change coordination, patch management, backup verification, and capacity planning.
  • Improve infrastructure reliability through AI-assisted troubleshooting, anomaly identification, documentation, automation planning, and operational reporting.
  • Apply responsible AI practices covering privileged access, credentials, production safety, sensitive system information, technical validation, and human oversight.

Tools covered

Generative AI AssistantsSystem Monitoring AnalysisLog Analysis SupportConfiguration ReviewIdentity & Access Administration SupportPatch & Update ManagementInfrastructure DocumentationSpreadsheet AnalysisReporting AssistanceWorkflow Automation

Who should attend

  • System Administrators
  • Senior System Administrators
  • Infrastructure Administrators
  • Windows Administrators
  • Linux Administrators
  • Server Administrators
  • IT Infrastructure Engineers
  • Cloud Operations Professionals
  • IT Operations Engineers
  • Technical Support Engineers
  • Platform Operations Professionals
  • IT Support Leads
  • Infrastructure Operations Analysts
  • Information Technology Team Leads

Prerequisites & Participant Readiness

  • Working knowledge of servers, operating systems, infrastructure, or IT operations
  • Familiarity with system monitoring, user administration, logs, patching, backups, or troubleshooting is helpful
  • Basic understanding of command-line tools and technical documentation
  • 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 system administration
  • Identifying AI applications across monitoring, troubleshooting, configuration, access, patching, and reporting
  • Understanding AI assistance versus System Administrator judgement and accountability
  • Recognising risks related to production systems, privileged access, credentials, and unsafe recommendations
Practical activities
  • Mapping common system-administration activities to AI-assisted opportunities
  • Identifying repetitive operational tasks suitable for AI support
  • Comparing traditional and AI-assisted System Administration workflows

Scenarios

Server Performance Incident to Stable Recovery

System Alert → AI-Assisted Log & Metric Review → Diagnostic Analysis → Probable Causes → Controlled Remediation → Validation → Documentation → Monitoring

Participants analyse a simulated server-performance incident, organise logs and system metrics, identify evidence-supported causes, define safe remediation actions, and prepare a controlled recovery and monitoring plan.

Infrastructure Operations Data to Administration Improvement Plan

System Health + Patch Status + Backup Data + Access Records + Capacity Metrics → AI Analysis → Operational Gaps → Priority Risks → Automation Opportunities → Management Report

Participants consolidate System Administration data, identify recurring operational weaknesses and infrastructure risks, and prepare a management-ready improvement plan with actions, owners, and priorities.

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