← Back to Course

Our Approach

Build it — and take responsibility for it

Most AI curricula teach students to use AI. AgenticEd teaches them to build agents and to govern them — the two skills the field actually hires for.

AgenticEd's distinctive contribution is a build-plus-govern pedagogy: every week pairs a hands-on building skill with a responsible-AI decision, so students graduate able to both create an agent and answer for what it does.

Now defined as a public framework

The Build-Govern-Prove Framework v1.0 turns this approach into a repeatable method: learners build a working agent, govern its risks and human responsibilities, then prove its limits with documented tests.

AgenticEd is an independent framework: it turns AI concepts into a project workflow and evidence layer that makes an agent's behavior inspectable.

Read the AgenticEd framework · Use the Trust Readiness Rubric

Why this is different

Introductory AI education usually stops at literacy — "here's what AI is, here's how to prompt it." Agent-building is rarely taught below the university level, and when it is, accountability is treated as a separate ethics unit bolted on at the end. AgenticEd integrates the two: governance isn't a final lecture, it's a thread woven through all six weeks, framed in plain language any beginner owns.

Principle 01
No code required
Students build real working agents with free no-code tools, so the barrier is curiosity, not programming.
Principle 02
Governance in every week
Accountability, harm, oversight, and ethics are practiced weekly — not saved for the end.
Principle 03
Access for every classroom
No-login, offline, and 45-minute paths mean firewalled and under-resourced schools can run it too.
Principle 04
Portfolio, not just completion
Each week produces one artifact that compounds into a college-application-ready capstone.

The responsible-AI thread, week by week

  1. Week 1 — "Who owns this agent's decisions?" plants accountability.
  2. Week 2 — Hallucination vs. misinformation: when is being wrong harmful?
  3. Week 3 — Grounding & retrieval: answering from real sources, not invention.
  4. Week 4 — Oversight by design: human-approval checkpoints in the pipeline.
  5. Week 5 — Demo Day's three accountability questions pay it all off.
  6. Week 6 — Ethics, safety, and careers in responsible AI.

Who it's for

Everyone. The course assumes no prior AI or coding experience, so it works for high-school classrooms (AP CS Principles, Intro to AI, electives), college students, career-switchers, self-learners, and community programs alike — with a deliberate focus on equity. The access design and the emphasis on responsible-AI oversight careers (not only engineering) are aimed at broadening who sees themselves in AI leadership, including learners from Title I and under-resourced schools.

Standards alignment

Designed as an independent framework for agent building, governance, evaluation, and evidence. It also supports classroom goals such as computational thinking, design, research, communication, and responsible technology use. Released under Creative Commons BY 4.0 so any educator can adopt, adapt, and share it.

← Back to Course Start Week 1 hello@agenticed.org