Agentic Devops with Claude Code

About this course

Most AI-for-DevOps material stops at "ask Claude to write the YAML." This course does not.

You build agents that do real operations work on a real, broken system — and the guardrails that make them safe to point at production.

The spine is Northstar Commerce. You join its platform team and inherit one flawed repository: two services, a fault-injectable upstream, a Terraform estate, Helm charts, CI, Prometheus and Alertmanager, open incident tickets, and scripts that inject faults and grade your work. Every module improves that same repo. Nothing here is a toy example.

What you buildA triage agent that reads a live Kubernetes cluster, ranks five simultaneous faults by blast radius, and remediates through a second identity the first one structurally cannot use

An IaC engineer that authors a Terraform module test-first and prices the change before it shipsA release gate that decides whether a candidate ships, emits a schema-validated verdict your pipeline branches on, and holds no deploy authority at all

An incident investigator that produces an evidence packet where every claim names the command that produced it — and declares what it did not checkA four-role security team that ranks scanner findings by reachability instead of raw CVSSAn always-on agent wired to a real Alertmanager alert

What you learn around them

The agents are the easy part. The operating layer is the course.

Context as a budget, not a bucket — scoped instruction files, evidence contracts, bounded queries

Model and effort as a staffing decision, with an OpenTelemetry run ledger to prove the bill

Runbooks compiled into Agent Skills that a role can actually invoke — and tested against positive, negative and ambiguous cases

Tool interfaces chosen deliberately: raw CLI, wrapper script, Skill or MCP server

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