AIOps Training in Greece

Developing an AIOps pipeline entirely with open-source solutions enables teams to create flexible and cost-efficient systems for monitoring, identifying anomalies, and managing intelligent alerts in live environments.

This instructor-led live training (available online or on-site) targets advanced engineers looking to design and implement a complete AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom machine learning models.

Upon completion of this training, participants will be capable of:

• Architecting an AIOps system using exclusively open-source components.
• Gathering and standardizing data from logs, metrics, and traces.
• Utilizing ML models to identify anomalies and forecast incidents.
• Automating alerting and remediation processes with open tooling.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Practical implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

Enterprise AIOps solutions such as Splunk, Moogsoft, and Dynatrace offer robust capabilities for identifying anomalies, correlating alerts, and automating responses across extensive IT environments.

This instructor-led live training, available either online or onsite, is designed for intermediate-level enterprise IT teams looking to incorporate AIOps tools into their existing observability frameworks and operational processes.

Upon completion of this training, participants will be able to:

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlate metrics, logs, and events across distributed systems using AI-driven analysis.
• Automate incident detection, prioritization, and response through built-in and custom workflows.
• Enhance performance, decrease MTTR, and boost operational efficiency at an enterprise scale.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical activities.
• Hands-on implementation within a live-lab environment.

Customization Options

• For information on arranging customized training for this course, please get in touch with us.

AIOps (Artificial Intelligence for IT Operations) is increasingly being used to predict incidents before they occur and automate root cause analysis (RCA) to minimize downtime and accelerate resolution.

This instructor-led, live training (online or onsite) is aimed at advanced-level IT professionals who wish to implement predictive analytics, automate remediation, and design intelligent RCA workflows using AIOps tools and machine learning models.

By the end of this training, participants will be able to:

• Build and train ML models to detect patterns leading to system failures.
• Automate RCA workflows based on multi-source log and metric correlation.
• Integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines in production environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Prometheus and Grafana are widely adopted tools for observability in modern infrastructure, while machine learning enhances these tools with predictive and intelligent insights to automate operations decisions.

This instructor-led, live training (online or onsite) is aimed at intermediate-level observability professionals who wish to modernize their monitoring infrastructure by integrating AIOps practices using Prometheus, Grafana, and ML techniques.

By the end of this training, participants will be able to:

• Configure Prometheus and Grafana for observability across systems and services.
• Collect, store, and visualize high-quality time series data.
• Apply machine learning models for anomaly detection and forecasting.
• Build intelligent alerting rules based on predictive insights.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

AIOps (Artificial Intelligence for IT Operations) is a methodology that leverages machine learning and advanced analytics to automate and enhance IT operations, with a specific focus on monitoring, incident detection, and response capabilities.

This instructor-led, live training (available online or onsite) is designed for intermediate-level IT operations professionals who aim to implement AIOps techniques to correlate metrics and logs, minimize alert noise, and improve observability through intelligent automation.

Upon completion of this training, participants will be capable of:

• Grasping the principles and architecture of AIOps platforms.
• Correlating data across logs, metrics, and traces to pinpoint root causes.
• Alleviating alert fatigue via intelligent filtering and noise suppression.
• Utilizing open-source or commercial tools to monitor and respond to incidents automatically.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical applications.
• Hands-on implementation within a live-lab environment.

Course Customization Options

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Greece (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 Greece (online or onsite) is tailored for SRE and DevOps engineers who wish to design, build, and securely deploy AI agents for autonomous IT operations.

This instructor-led, live training in Greece (online or onsite) is designed for ML engineers and platform teams who need to build robust operational pipelines for scalable LLM-powered applications.

This instructor-led live training in Greece (online or onsite) is designed for security and ML engineers who need to identify, test, and defend against attacks on ML models and LLM-powered applications.