1. 🧠 Artificial Intelligence Types
1.
🧠
Artificial Intelligence (AI)
Systems that exhibit intelligent behavior
1.1
🎯
Narrow AI (Weak AI)
AI systems designed for specific tasks
1.2
🧠
AGI (Human-Level)
Human-level AI across all domains
1.3
🚀
ASI (Beyond Human)
Superintelligence beyond human capability
1.4
🌌
Artificial Consciousness
Self-aware intelligent systems
1.5
🧠
Expert Systems
Rule-based knowledge systems
1.6
🧩
Hybrid AI
Combined symbolic and statistical approaches
2. 📚 Machine Learning
2.
📚
Machine Learning (ML)
Algorithms that learn from data
2.1
👨🏫
Supervised Learning
Learning from labeled training data
2.2
🔍
Unsupervised Learning
Pattern discovery without labels
2.3
🎭
Semi-Supervised Learning
Learning with partially labeled data
2.4
🎮
Reinforcement Learning
Learning through trial and error
2.4.1
🔄
Inverse RL
Learning rewards from behavior
2.4.2
🏗️
Hierarchical RL
Multi-level decision making
2.4.3
🤝
Multi-Agent RL
Collaborative agent learning
2.5
♻️
Transfer Learning
Knowledge reuse across domains
2.6
🔁
Meta-Learning
Learning to learn efficiently
2.7
↔️
Contrastive Learning
Learning through comparison
3. 🕵️ Deep Learning
3.
🕵️
Deep Learning (DL)
Multi-layer neural networks
3.1
🖼️
CNNs
Convolutional Neural Networks for vision
3.2
📜
RNNs
Recurrent Neural Networks for sequences
3.3
🔦
Transformers
Attention-based neural architecture
3.4
🌐
GNNs
Graph Neural Networks for relationships
3.5
🎭
GANs
Generative Adversarial Networks
3.6
✨
Diffusion Models
Probabilistic generative models
4. 🛠 Foundations of AI
4.
🛠
Foundations of AI
Core principles and methodologies
4.1
📜
Knowledge Representation & Reasoning
Encoding and processing information
4.2
🗺️
Search & Planning
Finding optimal solutions
4.3
🎲
Bayesian Inference
Probabilistic reasoning
5. ⚙️ Production AI
5.
⚙️
Production AI
Operational AI deployment
5.1
🔄
MLOps / AIOps
DevOps for AI systems
5.2
⚖️
AI Ethics/XAI
Ethical and explainable AI
6. 💡 Emerging
6.
💡
Emerging
Next-generation AI technologies
6.1
🎥
Multimodal AI
Multi-input AI systems
6.2
⚛️
Quantum AI
Quantum-powered intelligence
7. 💻 Applications
7.
💻
Applications
Real-world AI implementations
7.1
💬
NLP/LLMs
Natural Language Processing
7.2
👁️
Computer Vision
Visual data processing
7.3
🤖
Robotics
Physical AI systems
7.4
🎨
Generative AI
Content creation systems
7.4.1
📝
Text (GPT)
Text generation models
7.4.2
🖼️
Image (DALL·E)
Image generation models
7.4.3
🎵
Music (Suno)
Music composition AI
7.5
🏥
Healthcare AI
Medical AI applications