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What is aiops?

aiops (often written as AIOps) is the practice of applying data analytics, automation, and machine learning techniques to IT operations. Instead of treating monitoring, logging, and ticketing as separate activities, aiops brings these signals together to detect anomalies, correlate events, and support faster root-cause analysis and remediation.

It matters because modern platforms—microservices, containers, multi-cloud, and hybrid data centers—produce more telemetry than humans can reliably process. When alert noise grows, operations teams can miss real incidents or spend too long triaging symptoms. A well-designed aiops approach helps teams focus on what is actionable and reduce repetitive operational toil.

For learners, aiops sits at the intersection of SRE/DevOps, observability, IT service management (ITSM), and practical automation. This is where a strong Trainer & Instructor becomes important in practice: the best learning experience is not just theory about “AI,” but hands-on work with real signals (logs/metrics/traces/events), meaningful scenarios, and disciplined operational workflows.

Typical skills and tools covered in an aiops course include:

  • Observability foundations: logs, metrics, traces, and events; service health and SLIs/SLOs
  • Data collection and normalization: agents, collectors, tagging, and data quality checks
  • Alerting and noise reduction: deduplication, suppression rules, routing, and on-call workflows
  • Event correlation and root-cause analysis (RCA) techniques
  • Automation and remediation: runbooks, workflow engines, ChatOps-style operations
  • Scripting and data handling: Python basics, SQL-like querying, and time-series concepts
  • Platform integration: CI/CD, configuration management, and infrastructure-as-code (IaC)
  • Cloud and container monitoring patterns (tool choice varies / depends)

Scope of aiops Trainer & Instructor in Turkey

In Turkey, aiops is increasingly relevant wherever systems are expected to run 24/7, scale quickly, and remain compliant with internal security controls and local regulations. Hiring conversations often frame this work under titles like SRE, DevOps Engineer, Platform Engineer, NOC/Monitoring Engineer, Observability Engineer, or ITSM/Operations Analyst. A specialized aiops Trainer & Instructor can help candidates and teams connect these roles to a structured set of operational practices and tools.

Industries that commonly benefit from aiops-style approaches in Turkey include banking and fintech, telecommunications, e-commerce, logistics, gaming, manufacturing, and managed service providers. The common thread is high transaction volumes, many dependencies, and the need to keep customer-facing services stable even when change velocity is high.

Delivery formats also vary. Many learners prefer live online instructor-led sessions because they can join from Istanbul, Ankara, İzmir, or other cities without travel. Corporate teams often request private cohorts, on-site workshops, or hybrid training (remote labs plus periodic in-person sessions). Bootcamp-style formats exist too, but suitability depends on prerequisites and time availability.

Typical scope factors for aiops training in Turkey include:

  • Hybrid reality: many organizations run a mix of on-prem and cloud services (scope varies / depends)
  • Tooling diversity: monitoring stacks and ITSM tools differ widely between companies
  • Language needs: training may be required in Turkish, English, or bilingual delivery
  • Timezone alignment: scheduling matters for live labs and support (Turkey time vs EMEA/Asia)
  • Compliance considerations: handling production-like data may require anonymization and KVKK-aware practices
  • Operational maturity: some teams start with “basic monitoring,” others already have mature SRE processes
  • Cloud adoption level: public cloud, private cloud, or regulated environments influence lab design
  • Integration depth: linking telemetry to CMDB/service maps and ticket workflows can be a major learning objective
  • Role mix in the classroom: learners may include NOC, SRE, developers, and service owners together
  • Outcome expectations: from reducing alert fatigue to improving incident response consistency (no guarantees)

Quality of Best aiops Trainer & Instructor in Turkey

Judging the quality of an aiops Trainer & Instructor is less about marketing claims and more about observable teaching signals: what you build, what you practice, and how well the training fits your environment in Turkey. Because aiops spans both tooling and process, a high-quality instructor should be able to explain why something works, not just which buttons to click.

Before committing, ask for a detailed syllabus, lab outline, and the definition of “hands-on.” If the training is vendor-specific, confirm which product features are included, what version is used, and whether you will practice integrations that match your reality (Kubernetes, VM-based workloads, legacy apps, or mixed). Also clarify support: office hours, Q&A, and feedback on assignments can matter as much as the live sessions.

Use this checklist to assess the Best aiops Trainer & Instructor in Turkey for your goals:

  • Curriculum depth: covers observability + incident process + automation, not only dashboards
  • Practical labs: includes telemetry onboarding (logs/metrics/traces), alert tuning, and correlation exercises
  • Real-world scenarios: uses incident simulations with ambiguity, not only “happy path” demos
  • Projects and assessments: includes graded tasks/capstone work (even if informal) with clear evaluation criteria
  • Instructor credibility: practical background is explained; if not verifiable, it is marked as Not publicly stated
  • Mentorship and support: Q&A channels, review of assignments, and guidance on next steps
  • Career relevance: maps skills to roles in Turkey (SRE/DevOps/NOC/ITSM) without promising job placement
  • Tools and platforms: clarifies which stacks are covered (open-source vs vendor platforms; cloud exposure varies / depends)
  • Automation focus: includes runbooks, workflows, and safe rollback patterns, not just detection
  • Class size and engagement: encourages interaction, troubleshooting, and peer learning; avoids “lecture-only” delivery
  • Certification alignment: if the course targets a specific exam, the alignment is stated; otherwise Not publicly stated
  • Data and privacy hygiene: teaches safe handling of logs and customer data, including anonymization and access controls

Top aiops Trainer & Instructor in Turkey

Individual instructor rosters for aiops are not always publicly listed, especially when training is arranged through corporate programs or vendor-authorized channels. In Turkey, many teams pick a Trainer & Instructor based on two practical questions:

  1. Do they teach the operational method (observability + incident workflows + automation) in a tool-agnostic way?
  2. Can they also go deep on the specific platform the organization uses?

The shortlist below combines one independent Trainer & Instructor option (with a publicly available website) and several widely recognized vendor-aligned instructor tracks where the specific instructor name is often Not publicly stated. Use it as a structured starting point, not a guarantee of availability.

Trainer #1 — Rajesh Kumar

  • Website: https://www.rajeshkumar.xyz/
  • Introduction: Rajesh Kumar is an independent Trainer & Instructor who can support aiops learning through practical DevOps/SRE-aligned training. If you are building an aiops capability from the ground up, an independent instructor can help connect observability signals, incident workflows, and automation into a cohesive approach. Specific vendor authorizations, delivery language options, and Turkey-local references: Not publicly stated.

Trainer #2 — Not publicly stated (ServiceNow ITOM / Event Management aiops Instructor)

  • Website: Not publicly stated
  • Introduction: For organizations standardizing on ServiceNow, the ITOM and event management ecosystem often becomes the operational “hub” for aiops workflows—event ingestion, alert correlation, ticket automation, and routing. Instructor-led training is commonly delivered by authorized instructors using an official curriculum; the assigned Trainer & Instructor and delivery partner in Turkey can vary / depend. Publicly named individual instructors for local deliveries: Not publicly stated.

Trainer #3 — Not publicly stated (Splunk IT Service Intelligence / Observability aiops Instructor)

  • Website: Not publicly stated
  • Introduction: Splunk-based aiops work often emphasizes service visibility and KPI-driven monitoring, with strong log analytics used for investigations and correlation. A capable Trainer & Instructor in this track typically teaches data onboarding, KPI design, notable event handling, and practical tuning to reduce noise. Availability in Turkey and the individual instructor identity for a given cohort: Not publicly stated.

Trainer #4 — Not publicly stated (Dynatrace Observability & aiops Instructor)

  • Website: Not publicly stated
  • Introduction: Dynatrace-focused aiops training typically centers on end-to-end observability, topology awareness, baseline/anomaly detection, and AI-assisted problem identification in distributed systems. This path can be useful for teams moving fast with microservices, containers, or multi-cloud, where dependency mapping and automated detection are critical. Specific Trainer & Instructor assignments for Turkey schedules: Not publicly stated.

Trainer #5 — Not publicly stated (IBM aiops Instructor — Instana / Turbonomic / Watson AIOps)

  • Website: Not publicly stated
  • Introduction: IBM’s aiops ecosystem commonly covers application observability and resource optimization, which can be relevant in enterprise environments balancing performance, stability, and cost. Instructor-led learning in this space typically addresses monitoring architecture, event pipelines, and operational decision support. Local delivery availability in Turkey and the named Trainer & Instructor for each batch: Not publicly stated.

Choosing the right trainer for aiops in Turkey usually comes down to fit and evidence. Ask for a short diagnostic call, a lab sample, and a clear list of what you will build by week (or by day) of the course. If your organization already uses a specific ITSM or observability tool, prioritize instructors who can teach both the tool and the underlying operational reasoning. If you are early in maturity, prioritize a Trainer & Instructor who can teach fundamentals—telemetry quality, alert hygiene, incident command, and safe automation—without assuming you already have clean data and mature processes.

More profiles (LinkedIn): https://www.linkedin.com/in/rajeshkumarin/ https://www.linkedin.com/in/imashwani/ https://www.linkedin.com/in/gufran-jahangir/ https://www.linkedin.com/in/ravi-kumar-zxc/ https://www.linkedin.com/in/narayancotocus/


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