AIOps Training in Belgrade

Developing an AIOps pipeline exclusively with open-source tools enables teams to create flexible and cost-efficient solutions for production observability, anomaly detection, and intelligent alerting.

This instructor-led live training, available online or onsite, targets advanced engineers seeking to design and deploy a comprehensive end-to-end AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom machine learning models.

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

• Designing an AIOps architecture reliant solely on open-source components.
• Gathering and standardizing data from logs, metrics, and traces.
• Implementing ML models to identify anomalies and forecast incidents.
• Automating alerting and remediation processes using open tooling.

Course Format

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

Customization Options

• For inquiries regarding customized training for this course, please contact us to arrange details.

Enterprise AIOps platforms such as Splunk, Moogsoft, and Dynatrace offer robust capabilities for identifying anomalies, correlating alerts, and automating responses across large-scale IT environments.

This instructor-led live training, available online or on-site, is designed for intermediate-level enterprise IT teams seeking to integrate AIOps tools into their existing observability stacks and operational workflows.

Upon completing this training, participants will be able to:

• Configure and integrate Splunk, Moogsoft, and Dynatrace into a unified 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.
• Optimize performance, reduce MTTR, and enhance 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

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

AIOps (Artificial Intelligence for IT Operations) is gaining traction for its ability to forecast incidents ahead of time and automate Root Cause Analysis (RCA), thereby reducing downtime and speeding up resolution times.

This instructor-led live training, available online or onsite, targets advanced IT professionals eager to apply predictive analytics, automate remediation steps, and design intelligent RCA workflows leveraging AIOps tools and machine learning models.

Upon completing this training, participants will be capable of:

• Constructing and training machine learning models to identify patterns indicative of system failures.
• Automating RCA workflows through the correlation of logs and metrics from multiple sources.
• Integrating alerting and remediation procedures into current platforms.
• Deploying and scaling intelligent AIOps pipelines within production environments.

Course Format

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options

• For customized training requests, please contact us to make arrangements.

Prometheus and Grafana are extensively utilized tools for ensuring observability in contemporary infrastructure, while machine learning augments these platforms by providing predictive and intelligent insights to automate operational decisions.

This instructor-led training session (available online or onsite) targets intermediate-level observability professionals seeking to modernize their monitoring infrastructure by incorporating AIOps methodologies using Prometheus, Grafana, and machine learning techniques.

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

• Configure Prometheus and Grafana to achieve comprehensive observability across various systems and services.
• Gather, store, and visualize high-fidelity time series data.
• Utilize machine learning models for anomaly detection and forecasting.
• Develop intelligent alerting rules grounded in predictive insights.

Course Format

• Engaging lectures and interactive discussions.
• Numerous exercises and practical applications.
• Practical implementation within a live-lab environment.

Customization Options

• For inquiries regarding customized training for this course, please contact us to make arrangements.

AIOps (Artificial Intelligence for IT Operations) is a practice that uses machine learning and analytics to automate and enhance IT operations, with a particular focus on monitoring, incident detection, and response.

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

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

• Understand the principles and architecture of AIOps platforms.
• Correlate data across logs, metrics, and traces to identify root causes.
• Reduce alert fatigue through intelligent filtering and noise suppression.
• Use open-source or commercial tools to monitor and respond to incidents automatically.

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.