Duration: 2 hours · Level: Beginner–Intermediate · Format: Lecture + Hands-on Labs
A complete, self-contained workshop kit for teaching AI agent governance using the Agent Governance Toolkit. All materials are in this folder — facilitators need only a laptop and the prerequisites below.
| File | Purpose |
|---|---|
| slides.md | Slide deck — 22 slides covering governance concepts |
| lab-guide.md | Participant lab guide with 3 hands-on exercises |
| facilitator-notes.md | Facilitator guide with talking points and timing |
| prerequisites.md | Participant setup checklist (share 48 h before the session) |
| labs/lab1_first_policy.py | Starter template for Lab 1 |
| labs/lab2_multi_agent_trust.py | Starter template for Lab 2 |
| labs/lab3_full_governance_stack.py | Starter template for Lab 3 |
| Time | Segment | Format |
|---|---|---|
| 0:00–0:20 | Why governance matters | Slides 1–7 |
| 0:20–0:40 | Lab 1 — Your first policy | Hands-on |
| 0:40–0:55 | Trust and identity concepts | Slides 8–14 |
| 0:55–1:15 | Lab 2 — Multi-agent trust | Hands-on |
| 1:15–1:25 | Break | — |
| 1:25–1:40 | Production patterns | Slides 15–22 |
| 1:40–2:00 | Lab 3 — Full governance stack | Hands-on |
- Share prerequisites 48 h before the session — send participants prerequisites.md.
- Open the slide deck — render slides.md with any Markdown presenter (e.g., Marp, Slidev, GitHub preview).
- Distribute lab templates — participants work in the
labs/folder. - Reference facilitator notes — facilitator-notes.md has per-slide talking points, common questions, and timing cues.
- Facilitator: comfort with Python, familiarity with AI agents concepts
- Participants: Python basics (
forloops, dictionaries,pip install)
- Tutorial 01 — Policy Engine — deep-dive after Lab 1
- Tutorial 02 — Trust & Identity — deep-dive after Lab 2
- Tutorial 04 — Audit & Compliance — deep-dive after Lab 3
- quickstart.md — 10-minute overview of the full toolkit