AIOps (Artificial Intelligence for IT Operations) leverages machine learning to enable IT systems to observe, analyze, and react with a speed and precision that surpasses human capabilities.
Our instructor-led courses demonstrate how to apply AI for automating root cause analysis, forecasting outages, identifying anomalies, and optimizing incident management.
Live online training is conducted via interactive remote desktop, whereas onsite sessions in Athens focus on practical hands-on labs utilizing real-world alerts, logs, and telemetry.
Serving locations from data centers to command centers, onsite training is available at your organization’s premises in Athens, or within a NobleProg facility purpose-built for troubleshooting, collaboration, and system resilience.
Recognized as AI for IT Operations or Intelligent IT Monitoring, AIOps training enables teams to transition from manual reactive measures to predictive, data-driven operations.
Take Metro Line 3 (M3) from Airport toward Dimotiko Theatro.
Get off at Evangelismos.
The address is on Vasilissis Sofias Avenue, very close to the station. Evangelismos station is directly on the avenue.
Allow roughly 40–50 minutes total, depending on waiting/walking time.
From Athens Central Railway Station (Larissa Station)
Take the metro to Syntagma and change to Line 3 toward Doukissis Plakentias/Airport.
Get off at Evangelismos.
Walk to No. 46.
By bus
There are several buses running along Vasilissis Sofias Avenue. Nearby stops include Rigilis Street and Syntagma, while the Evangelismos area is served by multiple bus routes.
The metro is generally the simplest option, especially if you're arriving with luggage.
In this instructor-led training in Athens, develop the skills to build a complete AIOps pipeline using open-source tools. Explore observability, anomaly detection, and automated alerting via Prometheus, ELK, and custom ML models, acquiring practical expertise for real-world production settings.
This live training on Athens equips intermediate IT teams with the skills to integrate Splunk, Moogsoft, and Dynatrace for enterprise-grade AIOps. The curriculum addresses anomaly detection, alert correlation, and workflow automation to minimize MTTR and boost operational efficiency at scale.
This specialized AIOps training in Athens focuses on constructing ML models for incident forecasting and streamlining root cause analysis. Learners will design intelligent RCA workflows, integrate automated remediation, and deploy scalable AIOps pipelines in production settings through hands-on lab activities.
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This instructor-led, live training in Athens (online or onsite) is designed for observability and SRE engineers aiming to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.
This instructor-led, live training in Athens (online or onsite) is tailored for SRE and DevOps engineers who wish to design, build, and securely deploy AI agents for autonomous IT operations.
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