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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Claude is Anthropic's family of AI assistants, offered in named tiers like Opus, Sonnet, and Haiku that trade off intelligence, speed, and cost.
CompaniesDeepSeek is a Chinese AI lab whose open-weight models V3 and R1 stunned the industry by matching top reasoning performance at a fraction of the training cost.
CompaniesFigure AI is a Silicon Valley startup building general-purpose humanoid robots designed to do physical labor in warehouses, factories, and eventually homes.
CompaniesLearn Covariant RFM-1 and robotic foundation models: how Covariant trains warehouse robots with vision, language, and action data to generalize to new…
CompaniesThe Boston Dynamics AI Institute (now the RAI Institute) is a research lab founded by robotics pioneer Marc Raibert to crack the hardest problems…
TechnicalBERTScore measures how well machine-generated text matches a reference by comparing meaning, not exact words.
Language AINatural language inference asks whether one sentence logically follows from another.
Language AIIntent detection figures out what a user wants, and slot filling extracts the specific details needed to act on it.
Audio AIThe Deep Noise Suppression (DNS) Challenge is a Microsoft-run competition that pushes researchers to build neural networks that strip background noise…
Audio AISpectral subtraction and Wiener filtering are the classic, pre-deep-learning workhorses of noise reduction.
Audio AIBeamforming uses multiple microphones to listen in a chosen direction, amplifying sound from a target while suppressing everything else.
Audio AIRiffusion is a clever hack that generates music by treating sound as a picture: it fine-tunes the Stable Diffusion image model to paint spectrograms, then…
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