Role-Based Programme
RB1503

AI-Powered System Administration

Intelligent Infrastructure Operations, Troubleshooting & 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 system administration, infrastructure monitoring, troubleshooting, configuration management, access administration, maintenance, and operational support.
  • Use AI to analyse system logs, performance metrics, configurations, incidents, service records, capacity data, and administrative documentation.
  • Build repeatable AI-assisted workflows for system health monitoring, issue diagnosis, maintenance, patch coordination, access reviews, documentation, and reporting.
  • Apply AI to identify recurring system failures, abnormal behaviour, configuration inconsistencies, capacity concerns, operational risks, and automation opportunities.
  • Design responsible AI-enabled System Administration workflows with appropriate controls for privileged access, security, change management, validation, rollback, auditability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchCoding & Scripting AssistantsSystem Monitoring ToolsLog AnalyticsConfiguration Management ToolsIdentity & Access Management ToolsInfrastructure AnalyticsReporting & Dashboard ToolsKnowledge Management AIWorkflow Automation

Who should attend

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

Prerequisites & Participant Readiness

  • Working knowledge of system administration, infrastructure operations, servers, operating systems, or enterprise IT support
  • Familiarity with user administration, system logs, configurations, services, monitoring, patching, and troubleshooting
  • Basic proficiency with command-line environments, scripts, technical documentation, and workplace productivity applications
  • No previous AI course attendance required
  • No advanced programming background required

TOC Modules

Concepts
  • Understanding Generative AI, analytical AI, coding assistants, and infrastructure automation
  • Mapping AI opportunities across monitoring, administration, troubleshooting, maintenance, and support
  • Understanding AI assistance versus authorised system-administration decisions
  • Recognising hallucination, privileged-access, configuration, and production-change risks
Practical activities
  • Mapping an existing System Administration workflow
  • Comparing manual and AI-assisted administration activities
  • Creating a System Administration AI opportunity matrix

Scenarios

System Performance Incident to Controlled Resolution

Performance Alert → Metric Review → Log Analysis → Troubleshooting → Root Cause Investigation → Corrective Action → Controlled Change → Validation → Knowledge Capture

Participants use AI-assisted techniques to investigate a simulated system-performance issue, analyse logs and resource metrics, develop a controlled resolution plan, and document the final troubleshooting knowledge.

Infrastructure Data to Intelligent System Administration

System Metrics + Logs + Access Records + Patch Status + Storage Data + Incidents → AI Analysis → Operational Risk Signals → Priority Actions → Automated Alerts & Follow-Up → Infrastructure Dashboard → Administrator Review

Participants design an AI-enabled System Administration workflow that consolidates infrastructure signals, identifies recurring operational and capacity issues, automates safe monitoring and follow-up, and strengthens system visibility while retaining privileged and production decisions with authorised IT professionals.

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