AI for IT Operations (AIOps) leverages machine learning to empower IT systems with the ability to perceive, analyze, and react at speeds and scales far exceeding human limits.
Our instructor-led curriculum focuses on practical application of AI to automate root cause analysis, forecast potential outages, identify anomalies, and enhance incident management workflows.
Live online sessions are conducted through an interactive remote desktop environment, whereas onsite programs in Prague provide an immersive experience featuring hands-on labs centered on real-world alerts, logs, and telemetry data.
Training can be hosted directly at your organization’s premises in Prague, spanning from data centers to command centers, or within a NobleProg facility specifically designed to facilitate troubleshooting, team collaboration, and the enhancement of system resilience.
Often referred to as Intelligent IT Monitoring or AI for IT Operations, this training equips teams to move beyond reactive troubleshooting toward predictive, data-centric operational models.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
Master the construction of an end-to-end AIOps pipeline using open-source tools in this instructor-led training held in Prague. Explore observability, anomaly detection, and automated alerting through Prometheus, ELK, and custom ML models to acquire practical skills for real-world production environments.
This live training on Prague guides intermediate IT teams in integrating Splunk, Moogsoft, and Dynatrace for enterprise-level AIOps. It addresses anomaly detection, alert correlation, and workflow automation to lower MTTR and enhance operational efficiency at scale.
This specialized AIOps training in Prague focuses on constructing ML models for incident forecasting and streamlining root cause analysis. Participants will learn to architect intelligent RCA workflows, integrate remediation processes, and scale AIOps pipelines in production environments through hands-on lab exercises.
This live, instructor-led training in Prague guides observability professionals in adopting AIOps by leveraging Prometheus, Grafana, and ML. Participants will configure their observability stacks, apply machine learning for anomaly detection and forecasting, and establish intelligent alerting rules to streamline automated operations.
This instructor-led Prague training introduces AIOps fundamentals for IT operations professionals. Discover how to correlate metrics and logs, decrease alert noise, and automate incident response. Through hands-on labs, develop practical skills for modern, intelligent observability stacks.
This instructor-led, live training in Prague (online or onsite) is aimed at observability and SRE engineers who want to integrate LLMs and AI into their monitoring, alerting, and incident analysis workflows.
This AIOps Foundation training located in Prague provides a comprehensive look at implementing AI in modern IT operations. It addresses core principles, machine learning applications, and organizational challenges, equipping professionals to obtain the globally recognized AIOps Foundation certification and advance their careers.
This live, instructor-led training in Prague (online or onsite) is tailored for SRE and DevOps engineers looking to design, build, and safely deploy AI agents for autonomous IT operations.
This instructor-led, live training in Prague (online or onsite) is aimed at ML engineers and platform teams who need to build robust operational pipelines for LLM-powered applications at scale.
This instructor-led, live training in Prague (online or onsite) is aimed at security and ML engineers who need to identify, test, and defend against attacks on ML models and LLM-powered applications.
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