4D Training & Consultancy

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.

Duration confirmed during proposalIn-house, online, or customized deliveryCorporate teams and professional groups

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

Applying aiops concepts, service impact, and operations use cases in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 2: Telemetry, Events, Metrics, Logs, Traces, and Topology Data

Applying telemetry, events, metrics, logs, traces, and topology data in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 3: Noise Reduction, Event Correlation, and Alert Prioritization

Applying noise reduction, event correlation, and alert prioritization in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 4: Anomaly Detection, Root Cause Support, and Service Mapping

Applying anomaly detection, root cause support, and service mapping in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 5: Automation, Runbooks, Remediation, and Human Approval

Applying automation, runbooks, remediation, and human approval in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 6: Incident Reduction, Major Incident Support, and Lessons Learned

Applying incident reduction, major incident support, and lessons learned in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 7: AIOps Governance, Model Quality, and Value Measurement

Applying aiops governance, model quality, and value measurement in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Module 8: AIOps Use Case Design Workshop

Applying aiops use case design workshop in the context of AIOps for IT operations, event correlation, anomaly detection, automation, service impact, and incident reduction

Practical exercises, control points, deliverables, and related decisions

Materials provided

  • â—‹ Slides used during the sessions
  • â—‹ Group activities and practical exercises
  • â—‹ Worksheets, checklists, and templates
  • â—‹ Case studies relevant to the course
  • â—‹ 4D Certificate of Completion issued by 4D Training & Consultancy
  • â—‹ 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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