Role-Based Programme
RB1505

AI-Powered DevOps & Site Reliability Engineering

Smarter Automation, Monitoring, Incident Response & Reliability

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

Programme Objectives

  • Understand how AI can support DevOps and Site Reliability Engineering across CI/CD, infrastructure operations, monitoring, incident response, and reliability improvement.
  • Apply AI-assisted techniques to analyse logs, alerts, deployment information, operational incidents, configuration data, and reliability metrics.
  • Use structured prompting for troubleshooting, deployment review, incident analysis, runbook creation, post-incident reviews, and operational reporting.
  • Explore AI-supported approaches for identifying recurring failures, performance bottlenecks, reliability risks, and automation opportunities.
  • Build responsible AI-assisted DevOps and SRE workflows while maintaining production safety, security, change control, observability, and human oversight.

Tools covered

Generative AI AssistantsAI Search & ResearchCI/CD AnalysisInfrastructure & Configuration AssistanceLog & Observability AnalysisIncident Response AIReliability AnalysisRunbook GenerationReporting & Workflow Automation

Who should attend

  • DevOps Engineers
  • Site Reliability Engineers
  • Platform Engineers
  • Cloud Engineers
  • Infrastructure Engineers
  • Build & Release Engineers
  • CI/CD Engineers
  • Cloud Operations Professionals
  • Production Support Engineers
  • Systems Engineers
  • Application Support Engineers
  • Reliability Engineers
  • DevOps Managers
  • DevOps & SRE Team Leads

Prerequisites & Participant Readiness

  • Basic understanding of software delivery, infrastructure, cloud, or IT operations
  • Familiarity with deployments, pipelines, logs, monitoring, incidents, or configuration management 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 DevOps and Site Reliability Engineering
  • Identifying AI applications across CI/CD, infrastructure operations, observability, incidents, and documentation
  • Understanding AI assistance versus engineer judgement and operational accountability
  • Recognising limitations such as incorrect commands, incomplete context, hallucinations, and unsafe recommendations
Practical activities
  • Mapping a typical DevOps and SRE workflow
  • Identifying repetitive and information-intensive activities suitable for AI assistance
  • Comparing a traditional operations task with an AI-assisted approach

Scenarios

Failed Deployment to Safe Recovery

Deployment Failure → AI-Assisted Log Review → Failure Summary → Dependency Check → Recovery Options → Engineer Validation → Rollback / Fix → Verification

Participants use AI to organise sample deployment evidence, identify investigation areas, and prepare a safe recovery workflow for engineering validation.

Reliability Data to SRE Improvement Plan

Alerts + Incidents + Availability + Latency + Recovery Data → AI Analysis → Recurring Patterns → Reliability Gaps → Automation Opportunities → Improvement Plan

Participants use AI to analyse sample operational and reliability data, identify recurring service issues, and prepare a management-ready DevOps & SRE improvement plan.

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