AgentOps with Kubernetes

Hands-on AgentOps course — running production AI agents on Kubernetes. Companion to 302-llmops.

Status: Bootstrap baseline only. This repo was split out from schoolofdevops/302-llmops v0.19.0 on 2026-05-07. Labs and planning artifacts are inherited from that release; the first AgentOps-only milestone has not yet been planned.

Prerequisites

This course assumes you have completed 302-llmops v1.0.0+ and have a running KIND cluster with vLLM serving a fine-tuned model. Take 302 first.

What Is Here Right Now

• course-code/labs/lab-07/ through lab-13/ — AgentOps lab solution + starter code (working-tree copy from 302-llmops v0.19.0).
• course-content/docs/labs/lab-07-agent-core.md through lab-13-capstone.md — lab walkthroughs.
• .planning/phases/03-agentops-labs-day-2/ — full Phase 3 planning archive from 302-llmops (Pitfall 9 mandate: context-transfer, not file-copy).
• .planning/phases/04-production-ops-capstone-day-3/ — agent slices of Phase 4 (eval gate + guardrails + capstone planning artifacts).
• MIGRATION-FROM-302-LLMOPS.md — the context dossier. Start here if you are a future contributor or AI session resuming work.
• PROJECT.md — inherited foundation (verbatim "Validated in Phase 3" content + AgentOps-relevant Key Decisions).

Full History of the Original Combined Course

https://github.com/schoolofdevops/302-llmops/tree/v0.19.0 (tag SHA 3c4e0b120efd93a147d61f916a943e6a775ec717)

License

(Inherited from 302-llmops at v0.19.0 — see LICENSE on the source repo until this repo establishes its own.)