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AIOps - Learn By Doing


IT Foundations

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Beginner
AIOps Foundations: Intelligent Monitoring with Prometheus & Grafana
AI
Python
Prometheus
Grafana
AIOps
Forecasting
Anomaly Detection
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AIOps in Practice: Logging & Alerting at Scale
Grafana Loki
Grafana Alloy
Prometheus
Alertmanager
Docker Compose
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Intermediate
Automated Remediation with Python for AIOps
Python
Alert Webhook Receivers
Automated Remediation
ChatOps
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Applied ML for AIOps: Anomaly Detection & Forecasting
Intelligent Data Engineering
Intelligent Anomaly Detection
Log Clustering
Time-Series Forecasting
Intelligent Monitoring Dashboard
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Advanced
Advanced AIOps: Distributed Tracing & Root Cause Analysis
Distributed Traces
OpenTelemetry
Jaeger
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MLOps for AIOps: Build, Track, and Orchestrate AI Models with MLflow & Kubeflow
MLflow
MinIO
Kubeflow
AIOps Pipelines
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Topic based learning paths

Path

CKAD

Certified Kubernetes Application Developer
5 Courses
155h
Path

CKS

Certified Kubernetes Security Specialist
7 Courses
240h
Path

KCNA

Kubernetes and Cloud-Native Associate
4 Courses
103h
Path

Linux

7 Courses
200h

Role based learning paths

Path

System
Administrator

13 Courses
341h
Path

Kubernetes
Administrator

12 Courses
250h
Path

DevOps
Engineer

17 Courses
350h
Path

Site Reliability
Engineer

13 Courses
320h
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