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Each tier is a different world — same concepts, different depth. Start anywhere, move freely.
All Concepts
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🤖
Spark
What is AI?
The big picture of Artificial Intelligence
🔍 3 sub-topics
📊Explorer
Machine Learning
Teaching computers through experience
🔍 3 sub-topics
📋Explorer
Rule-Based AI
Logic built by human experts
🗄️Explorer
Training Data
The fuel that powers AI
🔍 1 sub-topic
✏️Builder
Supervised Learning
Learning with labeled examples
🔍 2 sub-topics
🧩Builder
Unsupervised Learning
Finding hidden patterns without labels
🧠Builder
Neural Networks
Brain-inspired learning machines
🔍 2 sub-topics
⛰️Practitioner
Gradient Descent
How a model finds the right answer
🎯Practitioner
Loss Functions
Measuring how wrong the model is
📝Builder
Overfitting
Memorizing instead of truly learning
🔗Practitioner
Backpropagation
Tracing responsibility for errors
⚡Practitioner
Transformer
Attention is all you need
🔍 2 sub-topics
👁️Specialist
Attention Mechanism
Teaching models to focus on what matters
💬Specialist
Large Language Models
GPT-4, Claude, Gemini & beyond
🔍 1 sub-topic
🤝Specialist
RLHF
Aligning AI with human values