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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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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AI in education can support tutoring, feedback, accessibility, planning, and administrative work.
IndustriesAI in science can help analyze measurements, search literature, design experiments, and model complex systems.
IndustriesAI and climate work includes forecasting, remote sensing, energy optimization, disaster planning, and climate research.
IndustriesAI in law can assist research, document review, drafting, discovery, and matter organization.
TechnicalAn AI benchmark is a defined set of tasks, data, and scoring rules used to compare systems.
TechnicalAI hardware executes the numerical operations used to train and run models.
TechnicalReinforcement learning trains an agent to choose actions using feedback about their consequences.
TechnicalAI and robotics combine perception, planning, control, and physical action.
GrunnleggendeMachine learning builds models whose behavior is fitted from examples rather than written entirely as explicit rules.
GrunnleggendeSupervised learning fits a model using examples that pair inputs with target outputs.
GrunnleggendeUnsupervised learning looks for structure in data without a target label for every example.
GrunnleggendeGenerative AI produces outputs such as text, images, audio, or code using learned statistical patterns and supplied context.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.