Apply AI and machine learning to IT operations — reduce alert fatigue, automate remediation, and predict failures before they happen.
Our AIOps training courses teach operations engineers and SREs to leverage artificial intelligence and machine learning for IT operations. You will learn intelligent monitoring, ML-based anomaly detection, event correlation, root cause analysis, and automated remediation — reducing alert fatigue and MTTR.
Courses cover leading AIOps platforms including Dynatrace, Moogsoft, BigPanda, and cloud-native AI operations tools. Delivered by experienced SREs and data scientists who have implemented AIOps at enterprise scale.
What AIOps is, the AIOps platform landscape, and how AI/ML improves IT operations outcomes.
Event grouping, noise suppression, and alert storm management using ML-based correlation engines.
Statistical and ML-based anomaly detection for metrics, logs, and traces in production systems.
Automated RCA using topology-aware AI, dependency mapping, and change event correlation.
Runbook automation, self-healing playbooks, and AI-driven remediation with PagerDuty and ServiceNow.
Deploying and integrating Dynatrace, Moogsoft, BigPanda, and cloud-native AIOps tools.
Work with real AIOps platforms and real observability data in live lab environments.
Expert-led sessions with real-time Q&A from SREs and AI operations practitioners.
AIOps engineers available around the clock for platform and integration questions.
Content aligned to Dynatrace, Splunk ITSI, and SRE Certified Professional objectives.
Three ways to learn — from free self-service to dedicated 1-to-1 instruction.
Self-service practice tests to assess your knowledge and prepare for certification. No sign-up required.
Instructor-led live sessions with cohort peers, hands-on labs, real-time Q&A, and exam preparation.
Fully personalised training delivered by a senior engineer, exclusively for you at your pace and schedule.
Join 1400+ operations engineers who have mastered AIOps with our expert-led training programs.