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The AI
Reference Library

A structured learning journey through artificial intelligence — from first principles to advanced systems. Built for curious minds, not just engineers.

9 Categories
36 Modules
36 Live now
Beginner
🧱 Foundations 4 modules

Core concepts and first principles of artificial intelligence

What is AI? · History & concepts · Key terminology · What AI can't do
Intermediate
🔢 Data & Statistics 4 modules

The raw material that powers every AI system

What is Data? · Types of data · Basic statistics · Data to insight
🤖 Machine Learning 5 modules

How machines learn patterns from data, with Python examples

What is ML? · Supervised learning · Training & testing · Common algorithms · Model evaluation
📊 Data Science 4 modules

Turning raw data into decisions, with Python & SQL examples

What do data scientists do? · The data pipeline · DS vs ML vs AI · Tools of the trade
Advanced
✨ Generative AI 4 modules

How modern AI creates text, images, audio, and code

How LLMs work · Text generation · Image & audio generation · Multimodal AI
🕹️ Agentic AI 5 modules

AI that plans, acts, and operates autonomously in the world

From generation to action · What are AI agents? · Planning, memory & tools · Multi-agent systems · Risks & limitations
Applied
🛠️ Working with AI 3 modules

Practical skills for using AI tools effectively every day

Prompt engineering · Using ChatGPT / Claude / Gemini · AI tools by use case
🏢 AI in Business 3 modules

Strategy, use cases, and measuring the impact of AI at work

Use cases by industry · Building an AI strategy · ROI & measuring impact
⚖️ Ethics & Society 4 modules

Responsible AI — bias, privacy, jobs, and regulation

Bias & fairness · Privacy & data · Jobs & future of work · Regulation