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 Newcastle 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 Newcastle, 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
Newcastle
116 Quayside, Newcastle upon Tyne, united kingdom, NE1 3DY
The Newcastle Quayside Centre is in a prestigious riverside location close to the River Tyne occupying three floors of a five-storey building with a glass front and modern interior. The views of the famous Tyne Bridge and recently built Millennium Bridge are stunning. The recently restored Baltic Centre for Contemporary Art is directly opposite, next to the Sage Gateshead performing arts and conference centre. The vibrant and energetic city of Newcastle is a modern, attractive and compact location with a strong identity where businesses prosper and people enjoy a quality of life that is second to none. This area is among the most successful in the UK for attracting investment from abroad and is already the preferred location of many Far Eastern and US companies entering the European market. Over 130 investors from 15 countries have chosen to locate in and around the city, joining a business community of over 17,000 companies.
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.
Read more...
Last Updated:
Provisional Upcoming Courses (Contact Us For More Information)
Online AI for IT Operations training in Newcastle, AIOps training courses in Newcastle, Weekend Artificial Intelligence for IT Operations courses in Newcastle, Evening Artificial Intelligence for IT Operations training in Newcastle, Intelligent IT Monitoring instructor-led in Newcastle, AI for IT Operations one on one training in Newcastle, Artificial Intelligence for IT Operations coaching in Newcastle, AI for IT Operations instructor in Newcastle, Evening AIOps courses in Newcastle, Artificial Intelligence for IT Operations boot camp in Newcastle, Online Artificial Intelligence for IT Operations training in Newcastle, AI for IT Operations classes in Newcastle, AIOps trainer in Newcastle, Weekend AIOps training in Newcastle, AIOps on-site in Newcastle, AI for IT Operations private courses in Newcastle, Intelligent IT Monitoring instructor-led in Newcastle
