Rajinikanth Vadla Training

AIOps training for intelligent IT operations

AIOps applies machine learning to IT operations: anomaly detection, predictive maintenance, root cause analysis and self-healing infrastructure.

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In the masterclass, AIOps is Module 4 with labs on telemetry pipelines, time-series models, cloud-native observability and automated remediation workflows.

This training suits DevOps and SRE engineers expanding into AI-driven operations, and MLOps engineers who need to understand production signals.

  • Anomaly detection labs
  • Prometheus and Grafana
  • Predictive analytics
  • Self-healing patterns
  • Cloud-native AIOps

YouTube · Rajinikanth Vadla

AIOps course videos

Real class recordings from Rajinikanth Vadla — embedded directly from YouTube.

What is AIOps? 5 Real Enterprise Pain Points That Killed DevOps

What AIOps is and why enterprises need it — five real pain points beyond classic DevOps.

AIOps Hands-On Labs | Real-Time Anomaly Detection, RCA & Predictive Ops

AIOps labs: anomaly detection, root cause analysis and predictive ops for DevOps engineers.

AIOps Lab Day-01: Detect CPU Anomalies

Hands-on AIOps lab using Prometheus, Grafana and ML to detect CPU anomalies in real time.

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