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AIOps Engineer path

For engineers who already operate Kubernetes and cloud and want to put agents to work on them without handing over the keys. The path takes the primitives you need (a lab, how containers isolate work) and goes straight to the tool servers, guardrails, triage agents and evaluations that make agentic operations safe.

Lessons appear here as they are published; prerequisites are listed on each lesson page.

AIOps Engineer · 9 lessons · 14 h
  1. Build The Lab: One Command That Proves Your Machine Is Ready · Phase 00 Setup & Lab · 60 min
  2. Build Process Isolation: A Container Is Just a Process · Phase 05 Containers · 90 min
  3. Build An MCP Server for kubectl: Tools Are Functions With a Schema · Phase 14 AIOps & Agentic Ops · 90 min
  4. Build An Incident-Triage Agent: The Loop Decides What the Model May Touch · Phase 14 AIOps & Agentic Ops · 120 min
  5. Build AI Log Analysis Is Clustering First, Model Second · Phase 14 AIOps & Agentic Ops · 90 min
  6. Build Trace the Agent Like a Service: OpenTelemetry for LLM Calls · Phase 14 AIOps & Agentic Ops · 90 min
  7. Build Run the Agent Where It Cannot Hurt You: Sandboxes and Egress Policy · Phase 14 AIOps & Agentic Ops · 90 min
  8. Build Write Tools Done Safely: Confirm, Dry-Run, Idempotency, Blast Radius · Phase 14 AIOps & Agentic Ops · 90 min
  9. Build An Ops Agent Is Safe When the Eval Says So · Phase 14 AIOps & Agentic Ops · 120 min

Pair this with the AI/ML Infrastructure career page and the AI/ML Ops learning path in the Reference layer.