Part 1 — Building the Offline Edge Runtime (45 min)
- Simulating IoT sensor input (random or file-based)
- Writing Python scripts that store data locally (SQLite/JSON)
- Designing pluggable runtime logic using folders or configs
- Creating a simple local dashboard (Textual/tkinter)

Goal: Each participant runs a self-contained Python edge app that stores and processes sensor data offline.

Part 2 — Simulating a Distributed Sensor Mesh (60 min)
- Using Python’s socket or asyncio to emulate device-to-device messaging
- Setting up each "device" as a local process with a unique port
- Broadcasting data, simulating node failures and hops
- Creating a basic mesh protocol: relay rules, TTLs, and deduplication

Goal: Simulate multiple edge devices forming a resilient network with no internet or central controller.

Part 3 — Secure Over-the-Air (OTA) Updates (75 min)
- Designing an OTA system using local files or a Python HTTP server
- Creating cryptographically signed update bundles (PyNaCl or RSA)
- Writing Python logic to poll, verify, and apply updates
- Implementing rollback and version checks with manifest.json

Goal: Push an update to one simulated device, then securely distribute and apply it across the mesh.