AWS Courses

Mastering AIOps (Artificial Intelligence for IT Operations) is the critical next step for SREs, DevOps Engineers, and System Administrators. As infrastructure becomes increasingly complex and distributed, traditional monitoring is no longer enough. Companies are shifting from reactive troubleshooting to predictive, self-healing systems - making AIOps skills essential for reducing downtime and scaling operations efficiently.

Our AIOps "Learn By Doing" path takes you from monitoring basics to building advanced, intelligent operational workflows. You will start with the essentials in AIOps Foundations and AIOps in Practice, mastering core tools like Prometheus, Grafana, Loki, and Alloy to centralize logging and alerting.

From there, you will advance to building autonomous systems:

• Automated Remediation: Use Python and Webhooks to build ChatOps bots and self-healing scripts that fix issues before they impact users.
• Applied Machine Learning: Implement Anomaly Detection, Log Clustering, and Time-Series Forecasting to predict failures.
• Deep Observability: Master Distributed Tracing and Root Cause Analysis with OpenTelemetry and Jaeger.
• MLOps for Operations: Orchestrate and track your operational AI models using MLflow and Kubeflow.

AIOps isn't just about watching dashboards; it’s about engineering systems that watch themselves. That’s why our curriculum is built on hands-on labs where you train models, configure pipelines, and automate real-world incident responses. Graduate with the practical expertise to transform noisy alerts into actionable intelligence and lead the future of automated operations