AI EducademyAIEducademy
🌳

AI基礎

🌱
AI Seeds(種)

ゼロから始める

🌿
AI Sprouts(芽)

基礎を築く

🌳
AI Branches(枝)

実践に活かす

🏕️
AI Canopy(樹冠)

深く学ぶ

🌲
AI Forest(森)

AIをマスターする

🔨

AIマスタリー

✏️
AI Sketch(スケッチ)

ゼロから始める

🪨
AI Chisel(鑿)

基礎を築く

⚒️
AI Craft(制作)

実践に活かす

💎
AI Polish(磨き上げ)

深く学ぶ

🏆
AI Masterpiece(傑作)

AIをマスターする

🚀

キャリア準備

🚀
面接ローンチパッド

旅を始めよう

🌟
行動面接マスター

ソフトスキルをマスター

💻
技術面接

コーディング面接を突破

🤖
AI・ML面接

ML面接をマスター

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オファーとその先

最高のオファーを獲得

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概要

すべての人にAI教育をアクセス可能にする

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Common questions answered

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Get in touch with us

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AI EducademyAIEducademy

MITライセンス。オープンソース

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Contents

  • The Problem
  • Our Solution
  • What makes it different
  • The Architecture
  • Open Source by Default
  • What's Next
  • Try It
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Why We Built AI Educademy

The story behind a free, open-source AI education platform that teaches artificial intelligence in 11 languages — from absolute beginners to advanced practitioners.

公開日 2026年3月12日•Ramesh Reddy Adutla•4 分で読める
ai-educationopen-sourcelaunchmultilingual
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Why We Built AI Educademy

AI is reshaping every industry — yet most AI education is locked behind paywalls, written only in English, and assumes you already know how to code. We set out to change that.

The Problem

When I started learning AI, I noticed three barriers that kept most of the world out:

  1. Language — Nearly all quality AI courses are in English. That excludes billions of learners.
  2. Cost — Premium AI courses range from $50 to $500+. For students in developing economies, that's a non-starter.
  3. Prerequisites — Most courses begin with "first, install Python..." — immediately alienating anyone without a technical background.

These aren't small gaps. They're walls that keep AI literacy concentrated in a handful of wealthy, English-speaking communities.

Our Solution

AI Educademy is a free, open-source platform that teaches AI from absolute zero, in your language. No coding required to start. No credit card required. Ever.

What makes it different

  • 11 languages — English, French, Dutch, Hindi, Telugu, Spanish, Portuguese, German, Chinese, Japanese, and Arabic. More coming.
  • Two learning tracks — The AI Learning Path (🌱 Seeds → 🌲 Forest) for conceptual understanding, and the Craft Engineering Path (✏️ Sketch → 🏆 Masterpiece) for hands-on building.
  • 10 structured programs — Each with carefully sequenced MDX lessons, interactive elements, and progress tracking.
  • Interactive Lab — Seven experiments including a Neural Network Playground, Prompt Lab, and Sentiment Analyzer — all running in the browser.
  • AI-powered features — Edu, our built-in chatbot, answers questions about any program. The Mock Interview simulator conducts realistic STAR-method interviews with feedback.
  • Completion certificates — Finish all lessons in a program and download a personalised PDF certificate.

The Architecture

We built AI Educademy as a modern, composable platform:

┌─────────────────────────────────────────────┐
│              aieducademy.org                 │
│         Next.js 16 + React 19               │
│      ┌──────────┐  ┌──────────────┐         │
│      │  MDX      │  │  Interactive │         │
│      │  Lessons  │  │  Lab         │         │
│      └────┬─────┘  └──────┬───────┘         │
│           │               │                  │
│      ┌────▼───────────────▼──────┐           │
│      │     Content Layer         │           │
│      │  (Git Submodules per      │           │
│      │   program — own repos)    │           │
│      └───────────────────────────┘           │
│                                              │
│      ┌─────────┐  ┌──────────┐  ┌────────┐  │
│      │ Auth    │  │ Progress │  │ AI Chat│  │
│      │ NextAuth│  │ Neon PG  │  │ Gemini │  │
│      └─────────┘  └──────────┘  └────────┘  │
└──────────────────────────────────────────────┘

Each course lives in its own GitHub repository, pulled into the platform as a git submodule. This means:

  • Content authors can write lessons without touching the platform code.
  • Translators can add a language by creating a folder in any course repo.
  • The platform rebuilds automatically when any content repo pushes changes.

The tech stack: Next.js 16 with App Router + Turbopack, TypeScript in strict mode, Tailwind CSS 4, next-intl for i18n, NextAuth v5 for authentication, and Neon Postgres for persistence. The design system is a separate npm package with a published Storybook.

Open Source by Default

Every line of platform code is MIT-licensed and available on GitHub. We believe education infrastructure should be a public good.

You can:

  • Self-host the entire platform for your school or organisation.
  • Fork a course repo and adapt it for your curriculum.
  • Contribute translations, lessons, bug fixes, or features.

What's Next

We're just getting started. On our roadmap:

  • 🌍 More languages — community-driven translation portal coming soon.
  • 🔌 LMS integration — LTI support for universities and schools.
  • 🧪 Interactive code exercises — In-browser coding with instant feedback.
  • 📱 Mobile app — Taking AI education offline.
  • 🎯 Personalised learning paths — AI-powered recommendations based on your progress.

Try It

Head to aieducademy.org and start with AI Seeds — our beginner track designed for people with zero technical background. It takes about 10 minutes to complete your first lesson.

If you find it useful, star the repo on GitHub ⭐ — it helps more people discover us.


AI Educademy is built and maintained by Ramesh Reddy Adutla and the open-source community.

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