AIOps Training in Norway

An AIOps pipeline constructed entirely with open-source tools enables teams to create cost-effective and flexible solutions for observability, anomaly detection, and intelligent alerting in production environments.

This instructor-led, live training (available online or on-site) is designed for advanced-level engineers who aim to build and deploy a comprehensive AIOps pipeline using tools such as Prometheus, ELK, Grafana, and custom ML models.

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

• Design an AIOps architecture using exclusively open-source components.
• Collect and normalize data from logs, metrics, and traces.
• Apply machine learning models to detect anomalies and predict incidents.
• Automate alerting and remediation processes using open-source tools.

Format of the Course

• Interactive lecture and discussion sessions.
• Numerous exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

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

This instructor-led, live training (online or on-site) is designed for intermediate-level enterprise IT teams who want to integrate AIOps tools into their current observability stack and operational workflows.

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

• Set up and integrate Splunk, Moogsoft, and Dynatrace into a cohesive AIOps architecture.
• Use AI-driven analysis to correlate metrics, logs, and events across distributed systems.
• Automate incident detection, prioritization, and response with both built-in and custom workflows.
• Enhance performance, reduce mean time to resolution (MTTR), and improve operational efficiency at the enterprise level.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• 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 increasingly being utilized to predict incidents before they happen and automate root cause analysis (RCA) to reduce downtime and speed up resolution.

This instructor-led, live training (online or on-site) is designed for advanced-level IT professionals who want 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:

• Develop and train machine learning models to identify patterns that lead to system failures.
• Automate RCA workflows by correlating logs and metrics from multiple sources.
• Integrate alerting and remediation processes into existing platforms.
• Deploy and scale intelligent AIOps pipelines in production environments.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practice sessions.
• 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. Machine learning enhances these tools by providing predictive and intelligent insights that can automate operational decisions.

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

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

• Configure Prometheus and Grafana for comprehensive observability across systems and services.
• Collect, store, and visualize high-quality time series data effectively.
• Apply machine learning models to detect anomalies and make forecasts.
• Develop intelligent alerting rules based on predictive insights.

Format of the Course

• Interactive lectures and discussions.
• Numerous exercises and practical sessions.
• 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 practice that leverages machine learning and analytics to automate and enhance IT operations, particularly in the areas of monitoring, incident detection, and response.

This instructor-led, live training (available online or on-site) 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 pinpoint root causes.
• Minimize alert fatigue through intelligent filtering and noise suppression.
• Utilize open-source or commercial tools for automatic monitoring and incident response.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practice sessions.
• 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 is a rapidly evolving field that addresses the needs of modern, complex IT environments, particularly those operating within cloud architectures. The AIOps Foundation course provides a comprehensive introduction to the concepts, technologies, and practices related to using artificial intelligence in IT operations.

The program delves into the background of AIOps, its core principles, tools, and the organizational challenges faced by IT teams as they adopt these approaches.

The training concludes with an exam. Successfully passing it awards the globally recognized AIOps Foundation certification, which is valid for three years.

Who is it for?

This course is designed for professionals and managers involved in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and Data Science

Software development

IT security

Product and project management