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 continuously tunes a building's heating, cooling, lighting, and ventilation to cut energy use and cost while keeping occupants comfortable.
ApplicationsAI helps capture CO2 more cheaply and reliably by discovering better capture materials and tuning capture plants in real time.
CompaniesPoolside is a well-funded AI startup building foundation models specialized purely for software development.
CompaniesCodeium began as a free AI code-completion tool and evolved into Windsurf, an AI-native code editor with an autonomous agent.
CompaniesTabnine is one of the earliest AI code-completion tools, now positioned as the privacy-first, enterprise-focused assistant.
ApplicationsAI tools help nonprofits find funding opportunities and draft proposals faster by generating, tailoring, and polishing grant narratives.
ApplicationsAI describes the visual world out loud—reading text, identifying objects, and narrating scenes for people who are blind or have low vision.
ApplicationsAI converts live speech into on-screen text within a second, giving deaf and hard-of-hearing people instant access to conversations, lectures, and meetings.
TechnicalInfluence functions estimate how much each training example shaped a model's prediction, letting you trace an output back to the data that caused it.
SocietyA membership inference attack tries to determine whether a specific person's data was used to train a model, just by probing the model.
SocietyData poisoning corrupts a model by tampering with its training data, and backdoor attacks hide a secret trigger that makes the model misbehave on command.
ApplicationsAI suggests where to eat and what to order by learning your tastes and matching them to dishes, reviews, and dietary needs.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.