AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Free AI library
111 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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Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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An AI assistant is an interface that helps a person obtain information, create material, or complete tasks using models and supporting software.
ApplicationsAn AI agent is a system that uses observations and a goal to choose actions, often through tools, and then evaluates what happened.
ApplicationsAI search uses learned representations or models to improve how information is found, ranked, or summarized.
ApplicationsAI coding uses models to help explain, generate, modify, or review software.
ApplicationsAI in gaming can generate content, control non-player characters, test levels, personalize experiences, and assist developers.
ApplicationsAI in daily life appears in recommendations, navigation, accessibility tools, home devices, writing aids, and personal assistants.
ApplicationsAI coding tools provide different levels of assistance, from inline completion and code explanations to repository edits and tool-running agents.
ApplicationsAI in sales can prioritize accounts, summarize calls, draft outreach, forecast demand, and recommend next steps.
ApplicationsAI in marketing can segment audiences, generate creative, optimize campaigns, and forecast response.
ApplicationsAI customer service systems answer questions, classify requests, summarize conversations, and propose resolutions.
ApplicationsAI in HR can help organize applications, schedule interviews, summarize feedback, or support workforce planning.
ApplicationsAI operations keeps a model-based service reliable after development.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.