01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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1019 plain-English guides, structured learning paths, and an open library — built by an independent 501(c)(3) nonprofit so anyone can understand modern AI.
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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Technical
Toolformer and Self-Taught Tool Use
Toolformer is a 2023 Meta AI method that lets a language model teach itself when and how to call external tools like calculators, search engines…
TechnicalVoyager Minecraft Agent and Skill Library
Learn how Voyager works: a Minecraft AI agent that writes code, stores reusable skills, and improves through lifelong learning without gradient updates.
TechnicalGenerative Agents and Simulated Societies
Generative agents are AI characters powered by language models that remember, plan, and react like believable people.
TechnicalEpisodic and Semantic Agent Memory
AI agents need two kinds of long-term memory: episodic memory for specific past events and semantic memory for general facts.
ApplicationsAI in Automated Code Migration
AI tools can translate code between languages, upgrade old frameworks, and modernize legacy systems far faster than manual rewrites.
IndustriesAI in Fashion and Apparel
AI is reshaping how clothes are designed, sized, marketed, and sold — from algorithms that predict next season's trends to virtual try-on that lets you see…
IndustriesAI in Film and Visual Effects
AI is transforming filmmaking from script to screen — speeding up visual effects, de-aging actors, translating dialogue, and even generating entire video…
IndustriesAI in Wealth Management
AI helps advisors and investors manage money — automating portfolio construction, surfacing insights from financial data, personalizing advice, and flagging…
Visual AIDDPM and DDIM Samplers
DDPM and DDIM are two ways to run the reverse process of a diffusion model, turning random noise into an image step by step.
Visual AIScore-Based Generative Models
Score-based generative models create data by learning the gradient of the data distribution — the direction that makes any noisy sample look more like real…
Visual AIFréchet Inception Distance
Fréchet Inception Distance (FID) is the standard metric for judging how realistic and varied a set of generated images is.
FundamentalsNaive Bayes Classifiers
Naive Bayes is a fast, probabilistic classifier built on Bayes' theorem that assumes every feature is independent given the class.
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