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Containers for GenAI & Agentic AI — The Open-Source Way

Course content for a 2-day corporate workshop / self-paced course under School of DevOps & AI (MLOps/LLMOps catalogue), by Gourav Shah. Built as a Docusaurus site: each module ships a Lesson + Lab + Quiz, and every lab is validated live on a real container runtime.

Live site: https://schoolofdevops.github.io/303-containerai/ (published via GitHub Pages)

Repo layout

site/       Docusaurus app (React, MDX, TypeScript). Modules flat at the top level of site/docs/.
labs/       Runnable lab assets per module (scripts, compose files) referenced by the lab pages.
planning/   specs/ · plans/ · lab-tests/ (real validation evidence) · STATE.md · ROADMAP.md
.github/    GitHub Actions workflow that builds site/ and deploys to Pages.

Run the site locally

npm --prefix site install
npm --prefix site start      # dev server at http://localhost:3000
npm --prefix site run build  # production build (fails on broken links)

How labs are built

Labs are authored to run on any OCI runtime (Rancher Desktop, Colima, OrbStack, Podman) and are executed step-by-step on an Apple-Silicon Mac before shipping — real command output is captured to planning/lab-tests/. On Apple Silicon the model server runs natively (Ollama/Metal) and containers reach it at http://host.docker.internal:11434.

Status & continuity

  • Current state: planning/STATE.md · Build tracker: planning/ROADMAP.md · Design: planning/specs/.
  • This build is phased and durable: a context clear loses nothing — see the continuity section in CLAUDE.md.

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Container for GenAI and Agentic AI. Part of MLOps/LLMOps Series from School of Devops

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