AIOps Kubernetes Trainer

Key Responsibilities:
Deliver engaging and interactive training sessions (24 hours total) based on structured modules.
Teach integration of monitoring, logging, and observability tools with machine learning.
Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling.
Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA.
Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks.
Help participants set up smart workflows for alert classification and routing using open-source stacks.
Prepare learners to handle security, threat detection, and runtime anomaly classification using LLMs.
Provide post-training support and mentorship when necessary.