Sign in Subscribe

AI Encyclopedia

The AI Encyclopedia — a living curriculum of 2,600 concepts that make up modern AI, organized into 130 phases.

The AI Encyclopedia is our living curriculum of 2,600 concepts that make up modern AI — from foundational programming, through deep learning and LLMs, to AGI and alignment. The curriculum is grouped into 130 phases of 20 topics each. Each phase below is a page; each topic is a future article.

Foundations & Programming

P001Introduction to Artificial Intelligence
P002Computational Thinking
P003Programming Fundamentals
P004Python for AI
P005Data Structures
P006Algorithms
P007Computer Architecture for AI
P008Operating Systems and Networking
P009Software Engineering for AI
P010Discrete Mathematics

Mathematics for AI

P011Linear Algebra I
P012Linear Algebra II
P013Calculus for AI
P014Probability Theory
P015Statistics for AI
P016Data Literacy
P017Data Preparation
P018Exploratory Data Analysis
P019Database Foundations
P020Classical AI

Classical ML & Statistical Learning

P021Machine Learning Foundations
P022ML Evaluation
P023Supervised Learning Algorithms
P024Unsupervised Learning Algorithms
P025Feature Engineering
P026Optimization for ML
P027Statistical Learning Theory
P028Ensemble Learning
P029Kernel Methods
P030Bayesian Machine Learning

Deep Learning Core

P031Probabilistic Graphical Models
P032Causal Inference and Causal AI
P033Time Series and Forecasting
P034Anomaly Detection
P035Recommendation Systems
P036Online, Active and Transfer Learning
P037Imbalanced and Noisy Learning
P038AutoML
P039ML Interpretability
P040ML Project Methodology

Computer Vision

P041Neural Network Foundations
P042Activation Functions and Losses
P043Deep Learning Optimization
P044Regularization in Deep Learning
P045Convolutional Neural Networks
P046CNN Architectures
P047Recurrent Neural Networks
P048Attention and Transformers
P049Autoencoders and Representation Learning
P050Generative Models

Natural Language Processing

P051Self-supervised Learning
P052Transfer, Multi-task and Meta-learning
P053Continual and Lifelong Learning
P054Neural Architecture Search
P055Model Compression and Efficient Deep Learning
P056Computer Vision Foundations
P057Advanced Computer Vision
P058Natural Language Processing Foundations
P059Word, Sentence and Document Representations
P060Speech and Audio AI

Speech & Multimodal

P061Music AI
P062Video AI
P063Document AI
P064Graph Machine Learning
P065Knowledge Graphs
P066Multimodal AI
P0673D and Spatial AI
P068Geospatial and Earth AI
P069Scientific Machine Learning
P070Bio, Medical and Health AI

Generative AI & Diffusion

P071Large Language Models
P072LLM Architecture and Training
P073Prompt Engineering and Prompt Science
P074LLM Fine-tuning and Adaptation
P075Generative AI Applications
P076Stable Diffusion Foundations
P077Stable Diffusion Core Architecture
P078Sampling, KSampler and Schedulers
P079Stable Diffusion Models and Checkpoints
P080Prompt Engineering for Image Generation

LLMs: Pretraining to Post-training

P081LoRA, Embeddings and Fine-tuning
P082ControlNet and Structural Conditioning
P083IP-Adapter and Reference-based Generation
P084Inpainting, Outpainting and Image Editing
P085Upscaling, Restoration and Enhancement
P086ComfyUI Fundamentals
P087Advanced ComfyUI Workflows
P088AUTOMATIC1111 / Forge / WebUI
P089Stable Diffusion Training
P090Stable Diffusion Production, Ethics and Troubleshooting

LLM Systems & Inference

P091Retrieval-Augmented Generation
P092Advanced RAG
P093Vector Search and Information Retrieval
P094AI Agents
P095Advanced Agents and Autonomous Workflows
P096Reinforcement Learning Foundations
P097Deep and Advanced Reinforcement Learning
P098Planning and Decision Systems
P099Game Theory and Multi-agent Decision Making
P100Control Theory for AI

RAG, Tools & Reasoning

P101Robotics Foundations
P102Embodied AI
P103Autonomous Vehicles and Drones
P104Data Engineering for AI
P105MLOps
P106LLMOps
P107AI Infrastructure and Distributed Training
P108AI Inference and Serving
P109AI Compilers and Systems Optimization
P110Production AI Product Design

Agents

P111AI Security and Privacy
P112AI Safety, Alignment and Robustness
P113Interpretability and Mechanistic Understanding
P114AI Ethics, Law, Policy and Society
P115Research Methodology and Frontier AI
P116AI Agent Foundations
P117Agent Architecture
P118Agent Memory Systems
P119Tool Use and Function Calling
P120Agent Planning and Reasoning
P121Agentic RAG and Knowledge Agents
P122Coding Agents
P123Browser, Computer-use and Workflow Agents
P124Multi-Agent Systems
P125Agent Safety and Security

AGI, Alignment & Frontier

P126AGI Foundations
P127Cognitive Architectures and World Models
P128AGI Research Directions
P129AGI Safety and Alignment
P130Future Intelligence and Post-AGI Society