Build observability, automation, and incident-response workflows for modern cloud operations teams.
AIOps Engineering is a production-focused track built around Azure Monitor, Log Analytics, KQL, alerting, runbook automation, and reliability operations. It helps platform, SRE, and cloud support teams move from reactive monitoring to structured incident intelligence and automated response workflows.
Updated June 2026
Module 1: AIOps Foundations - observability strategy and incident intelligence for cloud teams
Module 2: Azure Monitor and Log Analytics - collecting, querying, and correlating telemetry
Module 3: KQL for Operations - incident analysis, alert tuning, and diagnostics workflows
Module 4: Dashboards and Workbooks - building actionable operations views
Module 5: Alerting and Action Groups - reducing noise and improving response quality
Module 6: Azure Automation and Logic Apps - runbook automation for repeatable incident handling
Module 7: Reliability Operations - service health, incident response, and support handoff workflows
Module 8: Capstone - build an AIOps operations hub with alerts, dashboards, and automation
Observability design
KQL analysis
Incident triage
Runbook automation
Reliability operations
AIOps operations hub
Incident automation workflow
Observability dashboard portfolio
Is this course suitable for working professionals?
Yes. The course includes flexible recorded support and assignment windows for working learners.
Do I get certification preparation support?
Yes. This program includes structured guidance for AIOps Engineering with revision plans and mock checkpoints.