01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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155 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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Language AI
Attention Mechanisms
Attention lets a model decide which other words in a sentence matter most when interpreting each word.
Language AIContext Windows
A context window is the maximum amount of text — measured in tokens — that a model can read and keep in mind at one time.
Language AIChain-of-Thought Reasoning
Chain-of-thought reasoning is when a model works through a problem step by step in writing before giving its final answer.
Language AIQuantization
Quantization shrinks an AI model by storing its numbers at lower precision, so a model that needed a data-center GPU can sometimes run on a laptop or phone.
Language AIQuestion Answering
Question answering (QA) is the task of getting an AI system to give a direct answer to a question, rather than just a list of links.
Language AIText Classification
Text classification automatically sorts pieces of text into categories, like tagging an email as spam or a review as positive.
Language AIPart-of-Speech Tagging
Part-of-speech (POS) tagging labels each word in a sentence with its grammatical role, such as noun, verb, or adjective.
Language AITopic Modeling
Topic modeling is an unsupervised technique that automatically discovers the hidden themes running through a large collection of documents, without anyone…
Language AILanguage Modeling
Language modeling is the deceptively simple task of predicting what word or token comes next, given the text so far.
Language AIBERT and Encoder Models
BERT is a landmark language model that reads text in both directions at once to build rich representations of meaning.
Language AISmall Language Models
Small language models (SLMs) are compact AI models, often a few hundred million to a few billion parameters, designed to run efficiently on phones, laptops…
Language AISemantic Search
Semantic search finds results by meaning, not just matching keywords, so a query like "how to fix a leaky tap" can surface a page titled "repairing…
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