Where to Find Documentation for AI-For-Beginners: Complete Guide

The AI-For-Beginners documentation is organized across six key locations: the root README.md as the central hub, the Docsify-powered site via index.html, lesson-specific READMEs in lessons/, runnable examples in examples/, quiz app docs in etc/quiz-app/, and contribution guidelines in CONTRIBUTING.md.

Microsoft's AI-For-Beginners repository pairs a structured 12-week curriculum with comprehensive documentation designed for readability across GitHub, local IDEs, and browsers. Every major component—from neural network lessons to interactive quizzes—ships with its own Markdown documentation, making the AI-For-Beginners documentation ecosystem both modular and beginner-friendly.

Primary Documentation Entry Points

Root README: The Central Navigation Hub

The README.md at the repository root serves as the primary entry point for AI-For-Beginners documentation. According to the microsoft/AI-For-Beginners source code, this file contains:

• Badges, community links, and curriculum overview (lines 15–23)
• A Content table mapping lesson numbers to individual lesson READMEs and notebooks (lines 81–108)
• Quick-start clone and sparse-checkout instructions (lines 31–48)

Access it directly:

# View in terminal

less README.md

# Or open in editor

code README.md

Docsify Static Site: Browser-Friendly Documentation

The index.html file transforms the AI-For-Beginners documentation into an interactive website. This minimal Docsify configuration renders the same Markdown hierarchy as the root README but with search, sidebar navigation, and clean styling.

Run locally:

python -m http.server 8000

# Navigate to http://localhost:8000

Or visit the deployed version: https://microsoft.github.io/AI-For-Beginners/

Specialized Documentation Locations

Lesson Documentation in lessons/

Each curriculum topic resides in a numbered subfolder with its own README.md:

Folder	Topic	Documentation Focus
0-course-setup/	Environment setup	Installation and prerequisites
1-Intro/	AI fundamentals	Concept explanations with reading lists
2-Symbolic/	Classical AI	Algorithm descriptions
3-NeuralNetworks/	Neural networks	Perceptrons, backpropagation, CNNs
4-ComputerVision/	Computer vision	Image processing techniques
5-NLP/	Natural language	RNNs, transformers, embeddings
6-Other/	Other paradigms	Reinforcement learning, etc.

The master index at lessons/README.md lists every lesson with direct links to its documentation and Jupyter notebooks.

Open a specific lesson directly:

code lessons/3-NeuralNetworks/03-Perceptron/README.md
jupyter notebook lessons/3-NeuralNetworks/03-Perceptron/Perceptron.ipynb

Examples Documentation in examples/

The examples/README.md describes standalone starter programs for learners who want immediate hands-on practice without the full curriculum setup. Files like 01-hello-ai-world.py and 02-simple-neural-network.py each include inline comments and a concise README entry explaining expected outputs.

Run an example:

python examples/01-hello-ai-world.py

# Expected: "Hello AI World!" plus pattern-recognition demo

Quiz Application Documentation in etc/quiz-app/

The Vue.js quiz application at etc/quiz-app/README.md provides complete setup and deployment instructions for the interactive knowledge-checking tool. As implemented in microsoft/AI-For-Beginners, this component helps learners verify understanding after completing lessons.

Launch locally:

cd etc/quiz-app
npm install
npm run serve  # Opens http://localhost:8080

Contribution Guidelines in CONTRIBUTING.md

For those extending the AI-For-Beginners documentation, CONTRIBUTING.md specifies the workflow for submitting documentation fixes, new lessons, or code improvements.

Quick Reference: All Documentation Files

File Path	Purpose	Direct GitHub Link
README.md	Central hub, syllabus, setup	View
index.html	Docsify site entry point	View
lessons/README.md	Master lesson index	View
examples/README.md	Code examples guide	View
etc/quiz-app/README.md	Quiz app instructions	View
CONTRIBUTING.md	Contribution workflow	View

Access Patterns by Use Case

First-time visitor? Start with the root README.md for the full curriculum map and quick-start instructions.

Prefer web browsing? Open index.html locally or visit microsoft.github.io/AI-For-Beginners/ for the Docsify-rendered interface.

Working through lessons? Consult lessons/README.md to navigate topics, then open individual lesson READMEs for concept explanations and linked notebooks.

Need quick code samples? Jump to examples/README.md for runnable scripts without full environment setup.

Building or modifying the quiz? Reference etc/quiz-app/README.md for the Vue.js application architecture.

Summary

• Root README.md — The authoritative starting point for all AI-For-Beginners documentation
• index.html — Enables browser-based navigation via Docsify
• lessons/README.md — Indexed gateway to 12 weeks of lesson documentation
• examples/ — Standalone programs with dedicated README guidance
• etc/quiz-app/README.md — Interactive assessment tool documentation
• CONTRIBUTING.md — Standards for documentation contributions
• All documentation is Markdown-based, ensuring compatibility across GitHub, IDEs, and the Docsify site

Frequently Asked Questions

What is the fastest way to access AI-For-Beginners documentation online?

Visit https://microsoft.github.io/AI-For-Beginners/ for the rendered Docsify site, or go directly to the GitHub repository and open README.md. Both present the same structured curriculum, with the web version offering superior navigation and search.

Do I need to install anything to read the documentation?

No. All AI-For-Beginners documentation is readable directly on GitHub without installation. For local offline access, simply clone the repository and open any .md file in your preferred editor or run python -m http.server to view the Docsify site locally.

Where are the Jupyter notebook explanations located?

Each notebook has a companion README.md in its lesson folder under lessons/. For example, lessons/3-NeuralNetworks/03-Perceptron/README.md explains the concepts before you open Perceptron.ipynb. The master index at lessons/README.md links all lesson documentation.

How do I run the quiz application mentioned in the curriculum?

Navigate to etc/quiz-app/README.md for complete instructions. The documented workflow requires Node.js: run npm install followed by npm run serve to start the development server at localhost:8080.

{
  "mcpServers": {
    "instagit": {
      "command": "npx",
      "args": ["-y", "instagit@latest"]
    }
  }
}