The Library · shelves

The Library curriculum

Organized like a real library: by age, Israeli school grades, and life roles. For each shelf we explain what we teach, why it matters, and how learning works.

550+ lessons · 19 tracks · 8 certificate paths

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Method

How The Library teaches

Hook → concept → hands-on lab → quiz. Builds move into Studio. Proof comes from exams, rubrics, and publishable projects — not binge watching.

What — topic & skill
Why — why it matters now
How — lesson → lab → proof

Library shelves

By age, grade, and role

Ages 10–12 · Grades 5–6 (parent-guided)

First steps in the Library

Gentle literacy: how computers and AI fit into everyday life — always through a parent invite, never a solo under-13 account.

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Who it is for

Families with upper-elementary kids who want safe curiosity, not open chat apps.

What you leave with

Shared vocabulary at home, basic verify-before-trust habits, and a clear path into the teen journey later.

How we teach

Short guided lessons, parent dashboard visibility, no private open-ended rabbit holes.

Tech Foundations (selected units)

20 lessons

What: Computers, the web, files, and how teams ship software — in plain language.
Why: Kids need the map before the magic tricks.
How: Interactive steps + parent-visible progress; no coding required.

Prompt Mastery (intro units)

32 lessons

What: How to ask clearly, check answers, and stay on-task with AI.
Why: Prompting is the literacy of this decade — start early, stay supervised.
How: Guided chats inside the curriculum — not a blank ChatGPT tab.

Ages 13–14 · Grades 7–8 (middle school)

Teen starter journey

A capped trial that proves the loop: learn → build a small proof → show a parent.

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Who it is for

Middle-school teens ready for a real project without drowning in syntax.

What you leave with

First personal launch page, stronger prompting, and confidence to continue into high school tracks.

How we teach

Short interactive lessons, Studio builds, checkpoint quizzes, parent progress view.

Prompt Mastery

32 lessons

What: Talk to AI — the foundation for everything that follows.
Why: Without this, vibe coding and agents feel like luck.
How: 32 lessons with labs and a checkpoint exam.

Vibe Coding

27 lessons

What: Build live sites and apps with AI — without classic coding first.
Why: Proof beats theory: a page you can open on a phone.
How: Lesson brief → Studio → mobile harden → publish with guardian awareness.

Tech Foundations

20 lessons

What: Web, data, Git, and how teams ship.
Why: So AI help does not feel like a black box.
How: Hands-on steps tied to the same capstone project.

Ages 15–17 · Grades 9–12 (high school)

Builder path — learn, ship, prove

The full Library core: prompting, vibe coding, automations, agents, and optional ML — plus certificate routes.

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Who it is for

High-school teens who want portfolio proof, not another video binge.

What you leave with

Published projects, timed exams, and certificate paths (Builder, Automator, Maker, Developer).

How we teach

Hook → concept → lab → quiz; Studio for the build; exams for proof.

Prompt Mastery

32 lessons

What: Advanced prompting patterns, evaluation, and safe habits.
Why: Every other track assumes you can steer the model.
How: Interactive lessons + checkpoint exam.

Vibe Coding

27 lessons

What: Ship real UI with AI co-builders and explain your choices.
Why: Employers and universities ask for proof of work.
How: Capstone launch page + rubric + publish.

Automations

28 lessons

What: Connect apps — n8n mindset, triggers, and reliable workflows.
Why: Automation is where AI meets real ops.
How: Labs that mirror real multi-step jobs.

Agents

28 lessons

What: AI that uses tools, plans steps, and reports back.
Why: 2026 skills: agents + MCP mindset, not only chat.
How: Tool-use labs and planning exercises.

Machine Learning

24 lessons

What: Train small models — Teachable Machine path into real intuition.
Why: Demystify “the model” before vendor marketing.
How: Hands-on training loops + reflection quizzes.

Cursor AI

85 lessons

What: Full IDE course — Chat, Agent, Rules, MCP.
Why: Serious builders need a real editor workflow.
How: Deep track with labs mapped to day-to-day coding with AI.

Parents & guardians · Family role — not a school grade

See value, keep safety, coach without spying

Three parent shelves: Guardian (safety + 105), Learning Coach (read the dashboard), AI at Home (life admin).

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Who it is for

Parents who pay for the household and want progress visibility without reading private prompts.

What you leave with

House rules, 105 awareness, coaching language, and calm AI use at home.

How we teach

Parent-only lessons + household dashboard; Israeli cyber cases where relevant.

AI Guardian

24 lessons

What: Safety, privacy, house rules, and when to escalate (including line 105).
Why: Monitoring apps are not the same as teaching judgment.
How: Scenario lessons with clear next actions for parents.

Learning Coach

24 lessons

What: Read the dashboard, coach prompts, celebrate wins.
Why: Parents keep kids going when progress is visible.
How: Short coaching scripts tied to real learner milestones.

AI at Home

24 lessons

What: Email, planning, and admin for your own life — safely.
Why: Parents model the habits they want teens to learn.
How: Practical labs with privacy guardrails.

Adults 18+ · career & work · Role-based, not school grades

Level up at work — with proof

Workplace AI, sales tracks, models landscape, and Cursor for builders who already have a job.

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Who it is for

Professionals, career changers, and managers who need applied skills — not a teen journey.

What you leave with

Certificates and deliverables you can show HR or clients (AI at Work path).

How we teach

Role-shaped labs, practice exams, shareable certificates.

Business AI

27 lessons

What: Workplace productivity and careful corporate rollout.
Why: Most adults meet AI at work first.
How: Task labs + policy-aware habits.

Sales Agent

24 lessons

What: Outreach, discovery, follow-up — human still sends.
Why: Sales teams want speed without losing trust.
How: Scripted labs with review checkpoints.

Sales Manager

24 lessons

What: Pipeline, coaching, enablement with AI assist.
Why: Managers multiply team quality.
How: Manager scenarios and enablement packs.

AI Models Today

27 lessons

What: Landscape from early ML to ChatGPT-era vendors.
Why: Choose tools with judgment, not hype.
How: Compare-and-decide lessons + quizzes.

Teachers & schools · Classroom pilots · modular units

Ready-to-pilot AI curriculum

Same Library tracks, packaged for term planning: assessments, certificates, bilingual UI.

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Who it is for

Educators running AI literacy or builder electives.

What you leave with

Modular units you can schedule; certificates and portfolio URLs students can share.

How we teach

Self-contained modules, timed exams, rubrics — not participation-only grades.

Prompt Mastery (classroom pack)

32 lessons

What: Core AI literacy for a term or after-school club.
Why: Fits school calendars without rewriting your syllabus from scratch.
How: Pick modules; use exams as fair assessments.

Tech 101

24 lessons

What: Network, CLI, and math intuitions for AI/ML.
Why: Grounds flashy tools in durable basics.
How: Lab-first units teachers can demo on a projector.

Teams & HR · Comply · awareness training

Train the org — with audit-ready proof

The Library Comply: assign awareness courses, attest, quiz, export completion.

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Who it is for

HR, compliance, and managers who need records — not teen builder journeys.

What you leave with

Completion matrix and CSV when auditors ask.

How we teach

Read → attest → timed quiz; role-based assignment.

Awareness courses (Comply)

44 lessons

What: Security awareness, AI policy, deepfakes, and related org topics.
Why: Auditors ask who finished — not who watched a video once.
How: Campaigns, groups, and exportable completion.

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