AI Architect Academy — 1.0 credit — <grade>
For the parent issuing credit
Built to count as a real high school credit.
AI Architect Academy is designed to satisfy one full elective or computer science credit on a high school transcript. Below: where the hours come from, transcript language you can copy onto your records, how the capstone gets graded, and the portfolio that backs it all up.
1.0
High-school credit
120–150
Student hours
15
Capstone rubric items
Hours
Where the hours come from.
One full high-school credit is roughly 120 hours of student work. AI Architect Academy is conservatively budgeted at 120–150 hours across ten modules. A motivated student can finish faster; a student can take more time if needed. It's designed to be a self-paced course.
| Module | Focus | Target hours |
|---|---|---|
| 1 — The Agent Mental Model | Concepts, reading, two activities | 8–10 |
| 2 — Your AI Workstation | Installs, configs, first runs | 11–13 |
| 3 — AI Coding Partners | Directing coding agents, two builds | 13–16 |
| 4 — Research Agents | Research pipeline end-to-end | 11–13 |
| 5 — Email & Calendar Agents | Inbox + calendar patterns | 9–12 |
| 6 — Automation & Scheduled Tasks | Scheduled work, monitoring | 13–15 |
| 7 — Extending AI (Skills & Plugins) | Skill build, plugin install | 11–13 |
| 8 — Agent Orchestration | Multi-agent patterns | 11–13 |
| 9 — Security, Privacy & Responsibility | Posture, threat model, drills | 13–15 |
| 10 — Capstone | Charter → architecture → build → observe → ship | 20–30 |
| Total | 120–150 | |
Transcript language
Short — one-line transcript
Standard — course title + description
Long — portfolio style
Three versions. Copy whichever fits your transcript style.
All three describe the same course at different levels of detail. Pick the one that matches the format you already use.
AI Architect Academy (1.0 credit, <grade>)
Project-based elective in directing AI agents across a personal computing environment. Topics: agent architecture, context and memory, directing AI coding assistants, research and inbox agents, scheduled automation, custom skills and plugins, multi-agent orchestration, and security and privacy. Capstone: a personally useful agentic system, operated for seven consecutive days with documented safety, privacy, and cost controls, with a reviewer sign-off.
AI Architect Academy (1.0 credit, <grade>)
Ten-module project-based course (~120–150 hours). Students learn to direct AI systems — local LLMs, cloud AI assistants, scheduled automations, multi-agent pipelines — rather than only to use them. Each module includes core readings, hands-on activities, a quiz, a reflection prompt, and a capstone checkpoint. The capstone is a functioning agentic system of at least three integrated components, operated for seven consecutive days with documented safety, privacy, and cost controls, and signed off by a reviewer. Deliverables include charter, architecture, pipeline code, observation log, incident-drill after-action, demo video, reflection, and signed rubric. Placement: elective; computing / technology.
Capstone rubric
How the capstone gets graded.
The capstone is scored against a fifteen-item pass/fail rubric.
The full rubric — what passing looks like for each item, where to find the evidence, and a parent notes column — is on the printable version.
Portfolio
A portfolio that's already assembled.
The portfolio for AI Architect Academy comes pre-structured. The student's working folders contain everything in order: each module's artifacts, the capstone charter and architecture, system diagram, pipeline code, observation log, incident drill, demo video, reflection, signed rubric, and hours log.
Free printables
CSV
Print / PDF
Print / PDF
Three things you can keep with your student's records.
Hours log template
Spreadsheet to track time as your student works through the course.
Download CSV →Capstone rubric
Fifteen-item pass/fail rubric with a parent notes column and signature block.
Open printable rubric →Credit pack
One-page summary with transcript line, hours, and sign-off — designed to print and tuck into a portfolio binder.
Open one-pager →Ready to get started?
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