Middle school tools
Google Workspace, Google Stitch, age-appropriate AI chat tools, Figma-style thinking, and simple web prototypes.
Both pathways use guided practice, reflection, and project-based work. The middle school track emphasizes understanding and making. The high school track adds systems, implementation, and launch readiness.
Google Workspace, Google Stitch, age-appropriate AI chat tools, Figma-style thinking, and simple web prototypes.
VS Code, Codex, Google Stitch, Git-based workflows, Next.js, form design, and structured QA checklists.
A student-built product or workflow prototype that solves a real school or student need and includes a live walkthrough, design rationale, and reflection on responsible AI use.
| Week | Theme | Skills | Project artifact |
|---|---|---|---|
| 1 | What is an AI agent? | Program norms, safe AI use, prompt basics | Prompt playground reflection |
| 2 | How software gets built | User stories, page sketches, simple flows | Storyboard a school helper bot |
| 3 | Working with data | Structured vs. unstructured data, spreadsheets | Build a lunch survey summary |
| 4 | Prompting for research | Source checking, citation habits, bias awareness | Community facts mini-brief |
| 5 | Designing with Stitch | Layout, hierarchy, visual systems | Homepage concept |
| 6 | From design to code | Components, pages, content blocks | Translate a Stitch screen |
| 7 | Simple automation | Multi-step tasks, checklists, workflows | Morning routine agent |
| 8 | Midpoint project sprint | Team planning and feedback | Prototype review |
| 9 | Responsible AI in schools | Privacy, FERPA-aware behavior, consent | Policy poster |
| 10 | Testing and improving | Bug finding, usability review | Fix and iterate |
| 11 | Community-facing content | Writing for parents and educators | Parent FAQ draft |
| 12 | Capstone build week | Finalize middle school capstone | Working demo |
| 13 | Presentation design | Narrative, live demo skills | Slide outline |
| 14 | Demo day | Showcase and reflection | Capstone presentation |
| Week | Theme | Skills | Project artifact |
|---|---|---|---|
| 1 | Agentic product development | Program setup, goals, AI engineering overview | Opportunity brief |
| 2 | Web architecture fundamentals | Frontend, backend, APIs, databases | System map |
| 3 | Prompt engineering and evaluation | Prompt versioning, test cases, rubrics | Evaluation set |
| 4 | UI ideation with Stitch | Design constraints, accessibility, brand alignment | MPS-aligned homepage |
| 5 | Next.js foundations | Routes, layouts, reusable components | Section build |
| 6 | Forms and user input | Validation, state, safe input design | Interest form |
| 7 | Admissions workflow logic | Scoring, triage, statuses | Scoring matrix |
| 8 | Data and storage | Schemas, records, privacy boundaries | Admissions ERD |
| 9 | Notifications and operations | Email flows, ops checklists, audit trails | Message templates |
| 10 | Testing and QA | Acceptance criteria, manual testing, bug triage | QA pass |
| 11 | Capstone sprint 1 | Feature build and mentor critique | In-progress capstone |
| 12 | Capstone sprint 2 | Refinement and implementation | Feature-complete capstone |
| 13 | Launch readiness | Documentation, walkthroughs, support plans | Launch checklist |
| 14 | Demo day | Live showcase and district reflection | Capstone presentation |