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Organizer Guide

This guide is for developer communities, university instructors, hackathon organizers, ecosystem teams, and grant programs that want to use the course as onboarding infrastructure.

Mode Best For Notes
2-week sprint Hackathon prep Fast pace, high support, project-oriented
4-week cohort Developer communities Balanced pace with weekly submissions
6-week lab Universities One module per week plus final showcase
Self-paced Open community learning Requires clear self-checks and async support

Organizers should prepare:

  • Target testnet or L2 testnet
  • Faucet instructions
  • Wallet safety guide
  • Discord, Telegram, Slack, or forum channel
  • Lab submission form
  • GitHub template repository or repo naming convention
  • Demo day schedule
  • Review rubric

Each week:

  1. Publish the target module and lab.
  2. Remind learners of the required resources.
  3. Run an optional office hour.
  4. Collect lab submissions.
  5. Review blockers and common errors.
  6. Share examples of strong submissions.

Instructors should focus on:

  • Environment setup
  • Debugging workflows
  • Explaining concepts that videos do not make clear
  • Reviewing security assumptions
  • Helping learners scope capstone projects
  • Keeping learners away from real-fund risk

For ecosystem partners, the course should produce:

  • New developers who can build and deploy a small dApp
  • A portfolio of testnet projects
  • Candidates for hackathons, grants, and builder programs
  • Reusable labs and teaching materials
  • A repeatable onboarding process

The course curates public resources and adds sequencing, notes, labs, and evaluation. External videos, documentation, and platforms remain owned by their respective authors or organizations. Organizers should keep resource attribution visible and avoid presenting external content as owned by the course site.

Useful metrics:

  • Enrollment count
  • Module completion rate
  • Lab submission rate
  • SpeedRun challenge completion count
  • Capstone submission count
  • Demo day attendance
  • Number of learners who continue into hackathons, grants, or ecosystem projects