IT Service Management
AIOps for IT Operations Teams
This practical course helps professionals master AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction. The program connects key concepts, real use cases, risks, tools, and operational decisions so participants can apply the learning in their work environment. It can be tailored to the organization’s sector, internal systems, participant maturity, and performance objectives.
Objectives
- Understand the concepts, challenges, and use cases related to AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction.
- Identify the data, systems, processes, and stakeholders required for effective implementation.
- Assess risks, limitations, governance requirements, and practical control points.
- Use methods, tools, and templates to structure analysis and decision-making.
- Translate learning into action plans, recommendations, and measurable improvement opportunities.
- Adapt the approach to the operating context, team maturity, and business objectives.
Target audience
- ITSM managers, service desk leaders, and IT operations teams
- ITIL process owners and practice owners
- Support, incident, problem, and change teams
- DevOps, SRE, and observability professionals
- IT managers responsible for service quality
Program outline
A clear structure for the learning journey.
Program outline
Outline points are grouped in one designed block instead of being treated as separate module cards.
Module 1: AIOps Concepts, Service Impact, and Operations Use Cases
Foundation for AIOps Concepts, Service Impact, and Operations Use Cases: application, analysis, and review points linked to the module
Terminology and decisions in AIOps Concepts, Service Impact, and Operations Use Cases: application, analysis, and review points linked to the module
Inputs required for AIOps Concepts, Service Impact, and Operations Use Cases: application, analysis, and review points linked to the module
Typical mistakes around AIOps Concepts, Service Impact, and Operations Use Cases: applied exercise and practical decision from a realistic scenario
Module 2: Telemetry, Events, Metrics, Logs, Traces, and Topology Data
Current-state mapping for Telemetry, Events, Metrics, Logs, Traces, and Topology Data: application, analysis, and review points linked to the module
Examples and scenarios involving Telemetry, Events, Metrics, Logs, Traces, and Topology Data: application, analysis, and review points linked to the module
Diagnostic questions about Telemetry, Events, Metrics, Logs, Traces, and Topology Data: application, analysis, and review points linked to the module
Evidence produced through Telemetry, Events, Metrics, Logs, Traces, and Topology Data: applied exercise and practical decision from a realistic scenario
Module 3: Noise Reduction, Event Correlation, and Alert Prioritization
Design considerations for Noise Reduction, Event Correlation, and Alert Prioritization: application, analysis, and review points linked to the module
Roles and responsibilities in Noise Reduction, Event Correlation, and Alert Prioritization: application, analysis, and review points linked to the module
Exceptions and constraints affecting Noise Reduction, Event Correlation, and Alert Prioritization: application, analysis, and review points linked to the module
Quality checks for Noise Reduction, Event Correlation, and Alert Prioritization: applied exercise and practical decision from a realistic scenario
Module 4: Anomaly Detection, Root Cause Support, and Service Mapping
Operating model for Anomaly Detection, Root Cause Support, and Service Mapping: application, analysis, and review points linked to the module
Tools and workflow steps in Anomaly Detection, Root Cause Support, and Service Mapping: application, analysis, and review points linked to the module
Handoffs and approvals around Anomaly Detection, Root Cause Support, and Service Mapping: application, analysis, and review points linked to the module
Escalation points in Anomaly Detection, Root Cause Support, and Service Mapping: applied exercise and practical decision from a realistic scenario
Module 5: Automation, Runbooks, Remediation, and Human Approval
Performance measures for Automation, Runbooks, Remediation, and Human Approval: application, analysis, and review points linked to the module
Review routines after Automation, Runbooks, Remediation, and Human Approval: application, analysis, and review points linked to the module
Improvement actions for Automation, Runbooks, Remediation, and Human Approval: application, analysis, and review points linked to the module
Sustaining discipline around Automation, Runbooks, Remediation, and Human Approval: applied exercise and practical decision from a realistic scenario
Module 6: Incident Reduction, Major Incident Support, and Lessons Learned
Advanced scenarios in Incident Reduction, Major Incident Support, and Lessons Learned: application, analysis, and review points linked to the module
Failure patterns seen in Incident Reduction, Major Incident Support, and Lessons Learned: application, analysis, and review points linked to the module
Coordination challenges during Incident Reduction, Major Incident Support, and Lessons Learned: application, analysis, and review points linked to the module
Recovery actions for Incident Reduction, Major Incident Support, and Lessons Learned: applied exercise and practical decision from a realistic scenario
Module 7: AIOps Governance, Model Quality, and Value Measurement
Governance requirements for AIOps Governance, Model Quality, and Value Measurement: application, analysis, and review points linked to the module
Data quality checks in AIOps Governance, Model Quality, and Value Measurement: application, analysis, and review points linked to the module
Risk controls related to AIOps Governance, Model Quality, and Value Measurement: application, analysis, and review points linked to the module
Value measures for AIOps Governance, Model Quality, and Value Measurement: applied exercise and practical decision from a realistic scenario
Module 8: AIOps Use Case Design Workshop
Implementation planning for AIOps Use Case Design Workshop: application, analysis, and review points linked to the module
Readiness questions before AIOps Use Case Design Workshop: application, analysis, and review points linked to the module
Pilot design for AIOps Use Case Design Workshop: application, analysis, and review points linked to the module
Lessons learned after AIOps Use Case Design Workshop: applied exercise and practical decision from a realistic scenario
Materials provided
- ○ Slides used during the sessions
- ○ Group activities and practical exercises
- ○ Worksheets, checklists, and templates
- ○ Case studies relevant to the course
- ○ 4D Certificate of Completion issued by 4D Training & Consultancy
- ○ Post-course support for technical queries and guidance
Training Options
Programs can be delivered in-house, online, or in a blended format depending on your team's schedule, location, and learning objectives. When an external certificate or exam is included, certification rules and fees remain under the relevant awarding body's policies, while 4D provides the training and preparation support.
Why choose 4D
4D Training & Consultancy designs technical and professional programs around the client’s operating reality. The course can be adapted to sector requirements, internal systems, team capability, practical use cases, and the level of depth required by the audience.
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