A · BROADEST IDEA
Artificial Intelligence
Machines performing tasks that appear intelligent.
Machine Learning
A way for machines to learn patterns from data.
01 · AI Foundations
The Core Ideas That Start AI
This module introduces the basic ideas behind artificial intelligence, machine learning, and deep learning, and shows how different learning approaches fit together.
Start with the big picture before going deeper into models.
The Big Picture · taxonomy
AI is broad; learning is one way to build it
ARTIFICIAL INTELLIGENCEThe broad field of machines performing tasks that appear intelligent
↓ MACHINE LEARNINGSystems learn patterns from data rather than relying only on fixed rules
├── Supervised LearningLearn from examples with labels
├── Unsupervised LearningFind patterns without labels
├── Reinforcement LearningLearn through actions, feedback, and rewards
└── Deep LearningAn important machine-learning approach that often uses neural networks with many layers
Knowledge Structure
Organize the foundations by role
B · WAYS OF LEARNING
Supervised Learning
Learns from examples with labels.
Unsupervised Learning
Looks for patterns without labels.
Reinforcement Learning
Learns through actions, feedback, and rewards.
C · MAJOR APPROACH
Deep Learning
A machine-learning approach based on multi-layer neural networks.
Key Distinctions
Keep the boundaries clear
AIBroad field≠Machine LearningOne important way to build AI systems
Machine LearningBroader category≠Deep LearningOne major approach inside it
Supervised LearningUses labels≠Unsupervised LearningDoes not rely on labels in the same way
AIBroad field≠ChatGPTOne product built from AI systems
Recommended Learning Path
Build the mental model in order
This is a learning path, not a strict technical hierarchy.
01Artificial Intelligence
Understand the broadest idea.
02Machine Learning
See how systems learn from data.
03Supervised vs Unsupervised
Learn two major approaches.
04Reinforcement Learning
Learn through feedback and rewards.
05Deep Learning
Meet a powerful modern approach.
Remember the structure
AI is the broadest field. Machine learning is one major part of AI, and deep learning is one important approach inside machine learning. Supervised, unsupervised, and reinforcement learning describe different ways systems learn.