AIOps Training in Plovdiv

Leveraging entirely open-source tools to build an AIOps pipeline enables teams to develop cost-efficient and adaptable solutions for observability, anomaly detection, and intelligent alerting within production environments.

This instructor-led live training, available either online or onsite, is designed for advanced engineers aiming to construct and deploy a comprehensive AIOps pipeline utilizing tools such as Prometheus, ELK, Grafana, and custom machine learning models.

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

• Architecting an AIOps setup using exclusively 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.
• Numerous exercises and practical sessions.
• Hands-on implementation in a live laboratory environment.

Customization Options for the Course

• To arrange customized training for this course, please reach out to us.

Enterprise-grade AIOps solutions such as Splunk, Moogsoft, and Dynatrace offer robust features for identifying anomalies, linking alerts, and automating remediation actions across extensive IT infrastructures.

This instructor-led live training, available online or in person, targets intermediate-level IT teams within enterprises seeking to incorporate AIOps tools into their current observability frameworks and operational processes.

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

• Set up and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Correlate metrics, logs, and events across distributed systems leveraging AI-powered analysis.
• Automate incident identification, prioritization, and resolution using standard and tailored workflows.
• Enhance system performance, decrease MTTR, and boost operational efficiency at an enterprise level.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical practice.
• Practical implementation within a live lab environment.

Customization Options

• For inquiries regarding custom training for this course, please reach out to us to make arrangements.

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) represents a methodology that leverages machine learning and advanced analytics to automate and enhance IT operations, with a focus on monitoring, detecting incidents, and responding to them.

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

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

• Grasp the foundational principles and architecture of AIOps platforms.
• Correlate data from logs, metrics, and traces to pinpoint root causes.
• Alleviate alert fatigue via intelligent filtering and noise suppression.
• Utilize open-source or commercial tools to automatically monitor and respond to incidents.

Course Format

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

Course Customization Options

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