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.
Outline points are grouped in one designed block instead of being treated as separate module cards.
01AIOps Concepts, Service Impact, and Operations Use Cases4 topics
- 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
02Telemetry, Events, Metrics, Logs, Traces, and Topology Data4 topics
- 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
03Noise Reduction, Event Correlation, and Alert Prioritization4 topics
- 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
04Anomaly Detection, Root Cause Support, and Service Mapping4 topics
- 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
05Automation, Runbooks, Remediation, and Human Approval4 topics
- 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
06Incident Reduction, Major Incident Support, and Lessons Learned4 topics
- 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
07AIOps Governance, Model Quality, and Value Measurement4 topics
- 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
08AIOps Use Case Design Workshop4 topics
- 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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