Artificial Intelligence for IT Operations (AIOps) leverages machine learning to enable IT systems to observe, analyze, and react with a speed and precision that surpasses human capabilities.
Our instructor-led programs demonstrate how to utilize AI for automating root cause analysis, forecasting potential outages, identifying anomalies, and optimizing incident management workflows.
Live online training is conducted through an interactive remote desktop environment, whereas onsite sessions in Bangkok focus on immersive hands-on labs utilizing real-world alerts, logs, and telemetry data.
Serving environments from data centers to command centers, our onsite training can be hosted at your organization’s premises in Bangkok or within a NobleProg facility specifically designed to facilitate troubleshooting, collaborative work, and system resilience.
Often referred to as AI for IT Operations or Intelligent IT Monitoring, AIOps training equips teams to transition from reactive, manual troubleshooting to proactive, data-driven operational strategies.
NobleProg – Your Local Training Provider
Empire Tower
1, South Sathorn Road,, Bangkok, thailand, 10120
Ways to get there
BTS Skytrain: Take the Silom Line and get off at BTS Chong Nonsi. The Empire is within walking distance; the building has access from the Sathorn/Naradhiwas area.
BTS Saint Louis:Saint Louis station is also nearby, around a 7-minute walk according to current location information.
BRT: Get off at BRT Sathorn. It's approximately a 2–4 minute walk to the building.
MRT:MRT Silom is another option, followed by a walk toward Sathorn.
Taxi/Grab: Give the driver: “The Empire, 1 South Sathorn Road, Sathon, Bangkok 10120.” The official building site confirms this address.
By car: The building can be accessed from Sathorn Road or Naradhiwas Rajanagarinda Road.
Gain the expertise to construct a complete AIOps pipeline using open-source tools through this instructor-led session in Bangkok. Focus on observability, anomaly detection, and automated alerting using Prometheus, ELK, and custom ML models, acquiring practical skills for real-world production scenarios.
This live session on Bangkok guides intermediate IT teams through the integration of Splunk, Moogsoft, and Dynatrace for enterprise-grade AIOps. The curriculum covers anomaly detection, alert correlation, and workflow automation to lower MTTR and enhance operational efficiency at scale.
This advanced AIOps course in Bangkok focuses on developing ML models for incident forecasting and automating root cause analysis. Learners will design intelligent RCA workflows, integrate automated remediation, and scale AIOps pipelines for production use through hands-on lab activities.
This instructor-led live training in Bangkok empowers observability professionals to integrate AIOps capabilities using Prometheus, Grafana, and machine learning. Learners will configure robust observability stacks, utilize ML for anomaly detection and forecasting, and implement intelligent alerting rules to support automated operations.
This instructor-led training in Bangkok covers AIOps fundamentals for IT operations professionals. Learn to correlate metrics and logs, reduce alert noise, and automate incident response. Hands-on labs build practical skills for modern, intelligent observability stacks.
This live, instructor-led training in Bangkok, offered both online and onsite, is tailored for observability and SRE engineers seeking to embed LLMs and AI into their monitoring, alerting, and incident analysis operations.
This live, instructor-led training in Bangkok (online or onsite) is designed for SRE and DevOps engineers who wish to design, build, and safely deploy AI agents for autonomous IT operations.
This live, instructor-led training in Bangkok (delivered online or onsite) is tailored for ML engineers and platform teams seeking to construct robust operational pipelines for LLM-powered applications at scale.
This live, instructor-led course in Bangkok (online or onsite) is designed for security and ML engineers who need to identify, test, and defend ML models and LLM-powered applications against emerging threats.
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