AIOps (Artificial Intelligence for IT Operations) uses machine learning to help IT systems see, think, and respond faster than humans ever could.
Our instructor-led courses teach how to apply AI to automate root cause analysis, predict outages, detect anomalies, and streamline incident management.
Online live training is delivered via interactive remote desktop, while onsite sessions in Rabat dive deep into hands-on labs with real-world alerts, logs, and telemetry.
From data centers to war rooms, onsite training can unfold at your organization’s location in Rabat, or in a NobleProg facility designed for troubleshooting, collaboration, and system resilience.
Also known as AI for IT Operations or Intelligent IT Monitoring, AIOps training empowers teams to shift from manual firefighting to predictive, data-driven operations.
NobleProg – Your Local Training Provider
7AY Rabat
Zone industrielle , Takadoum, morocco, X5RW+M6 Rabat, M
Unwind and open your mind in this relaxed environment, ideal for immersing yourself in a learning experience. This facility offers a large range of services in a modern and fresh environment.
7AY coliving is a service provided by 7AY so that Digital nomads can benefit from a fully furnished and equipped living units located near the city centre. It's all about working and learning in complete freedom and utter comfort.
Regus - Mahaj Hay Ryad
Immeuble Mahaj Ryad Center , Rabat , morocco, 10100
In a city renowned for its magnificent architecture, it's no surprise that office space for rent in Rabat is also something special. The Regus Ryad Center is a striking modernist structure, part of an incredible business park, in the center of the Hay Ryad commercial district. Inside this ultra-modern building with angular walls, you'll find offices, coworking spaces, and meeting rooms, all equipped with high-speed Wi-Fi and temperature controls.
As you exit the building, you will find yourself on Annakhil Avenue, one of the city's main arteries, which is filled with restaurants, shops, gyms and other amenities. Nearby you will find the Mohammed V theater, but also many other iconic historical monuments inside and outside the city of Rabat. It can be reached easily with the Aswak Assalem Bus Stop, just a 15-minute walk away. In addition, a quick taxi ride to Rabat Agdal station connects you to the rest of the city, as well as to all of Morocco.
An AIOps pipeline built entirely with open-source tools allows teams to design cost-effective and flexible solutions for observability, anomaly detection, and intelligent alerting in production environments.
This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to build and deploy an end-to-end AIOps pipeline using tools like Prometheus, ELK, Grafana, and custom ML models.
By the end of this training, participants will be able to:
Design an AIOps architecture using only open-source components.
Collect and normalize data from logs, metrics, and traces.
Apply ML models to detect anomalies and predict incidents.
Automate alerting and remediation using open tooling.
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.
Enterprise AIOps platforms like Splunk, Moogsoft, and Dynatrace provide powerful capabilities for detecting anomalies, correlating alerts, and automating responses across large-scale IT environments.
This instructor-led, live training (online or onsite) is aimed at intermediate-level enterprise IT teams who wish to integrate AIOps tools into their existing observability stack and operational workflows.
By the end of 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 with built-in and custom workflows.
Optimize performance, reduce MTTR, and improve operational efficiency at enterprise scale.
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 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 practice that applies machine learning and analytics to automate and improve IT operations, particularly in the areas of monitoring, incident detection, and response.
This instructor-led, live training (online or onsite) is aimed at intermediate-level IT operations professionals who wish 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.
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