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🎓 Workshop: Introduction to AI Agent Governance

Duration: 90 minutes · 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.

Workshop Materials

File Purpose
slides.md Slide deck covering native policy and trust concepts
lab-guide.md Participant guide with 2 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 Native ACS policy lab
labs/lab2_multi_agent_trust.py Starter template for Lab 2

Agenda

Time Segment Format
0:00–0:20 Why governance matters and native ACS Slides
0:20–0:45 Lab 1 - Native policy evaluation Hands-on
0:45–1:00 Trust and identity concepts Slides
1:00–1:25 Lab 2 - Multi-agent trust Hands-on
1:25–1:30 Wrap-up Discussion

Quick Start for Facilitators

  1. Share prerequisites 48 h before the session — send participants prerequisites.md.
  2. Open the slide deck — render slides.md with any Markdown presenter (e.g., Marp, Slidev, GitHub preview).
  3. Distribute lab templates — participants work in the labs/ folder.
  4. Reference facilitator notes — facilitator-notes.md has per-slide talking points, common questions, and timing cues.

Skills Needed

  • Facilitator: comfort with Python, familiarity with AI agents concepts
  • Participants: Python basics (for loops, dictionaries, pip install)