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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Society
AI Bias
AI bias can arise from data, measurement, modeling choices, human judgments, and the wider system in which a model is used.
SocietyAI & Privacy
AI privacy concerns how a system’s collection, inference, storage, and disclosure of information can affect people.
SocietyAI & Copyright
AI and copyright involves several separate questions: rights in input material, permission to use a service or model, possible infringement in outputs…
SocietyAI Safety
AI safety is the field focused on preventing AI systems from causing severe harm — from everyday failures and misuse up through catastrophic and existential…
SocietyArtificial General Intelligence
Artificial General Intelligence (AGI) refers to AI systems with broad, human-level (or greater) competence across most cognitive tasks — not just one narrow…
SocietyOpen Weights
Open-weights models make learned parameter files available for download under specified terms.
SocietyAI Alignment
AI alignment is the technical and institutional project of making advanced AI systems reliably do what humans intend — including in novel, high-stakes…
SocietySynthetic Data
Synthetic data is generated to represent some properties of real or imagined data.
SocietyModel Collapse
Model collapse describes degradation that can occur when successive models learn recursively from generated data and lose information about the original…
SocietyAI Governance
AI governance is the set of rules, roles, and technical controls that decide who may build, train, evaluate, and deploy AI systems — and what happens…
FundamentalsAI Systems Thinking
AI systems thinking examines how data, models, people, interfaces, and operating policies interact.
FundamentalsModel Lifecycle
The model lifecycle covers problem definition, data preparation, training or selection, evaluation, deployment, monitoring, and retirement.
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