AI Builder Series

Audience: Students ages 10-16 with basic computer familiarity
Format: 4 sequential workshops, 2 hours each
Theme: “Build real projects with AI — from first prompt to team collaboration”
Recommended prerequisite: AI Playground for Kids

Series Overview

Students build a quiz/trivia web app across all 4 workshops. Each session adds new skills and new features to the same project. By the end, students have a polished, team-built app published live on the web — and a toolkit of practices they can apply to any future project.

Starter Repository

The series uses a dedicated starter repo separate from this workshops site. Students fork it once at the start of Workshop 1 and grow the same quiz app across all four sessions.

  • Starter repo: Lansing-Tech-Studio/quiz-game
  • What’s inside: dev container (Copilot + Playwright MCP), placeholder index.html, and a README guiding students through fork → Codespace → Pages
  • Live publishing: every student’s fork auto-deploys to https://<their-username>.github.io/quiz-game/ via GitHub Pages

Instructors: see Starter Repo Setup for the one-time repo creation and the main / current branch convention.

Tools

  • GitHub Codespaces — recommended environment; nothing to install locally. The dev container pre-installs Copilot, Copilot Chat, the Playwright MCP server, and a Chromium browser
  • GitHub Copilot in VS Code (primary AI tool — free for verified students via GitHub Education)
  • Playwright MCP for AI-powered browser interaction (pre-configured in .vscode/mcp.json)
  • Git + GitHub for version control and collaboration

Workshops

# Title Core Skill What Students Can Say After
1 Prompt Power-Ups Communicate clearly with AI “I can write a clear prompt, check the result, and improve it.”
2 One Thing at a Time Organize your work “I can change one part at a time and test each change.”
3 Save Points Protect your progress “I can save my work, try something new, and roll back if it breaks.”
4 Team Up Build together “I can work on a project with others using branches and pull requests.”

Keep Learning

Curious to go further after the series? The Learn More page collects links for git training, other AI coding tools, web development, and the rest of the topics covered here.

Project Journey

  • After Workshop 1: Working quiz with a few hardcoded questions and basic styling
  • After Workshop 2: Clean structure with questions, display, scoring, and styling separated
  • After Workshop 3: New features added with git history and test cases
  • After Workshop 4: Team-enhanced version with contributions from multiple students merged together