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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The AI startup landscape includes model providers, application companies, infrastructure vendors, and services built around data or workflows.
ApplicationsAI operations keeps a model-based service reliable after development.
ApplicationsAI product management connects a user problem with a model-based capability and a measurable product outcome.
ApplicationsAI-assisted onboarding helps users understand a product, configure it, or complete an initial task.
ApplicationsAI research assistants can help discover papers, extract details, summarize evidence, and organize references.
ApplicationsAI workflow automation uses model outputs within a sequence of business or software operations.
ApplicationsAI knowledge management helps organize, retrieve, and explain information held by an organization.
ApplicationsAI content strategy uses models to plan, draft, update, or distribute content.
ApplicationsAI support automation helps answer questions, route requests, summarize cases, or propose actions.
IndustriesAI in the public sector can support casework, service delivery, inspection, forecasting, and internal operations.
IndustriesAI in nonprofits can support fundraising research, translation, program operations, communications, and service delivery.
IndustriesAI in pharmaceutical work can support discovery, clinical development, manufacturing, safety monitoring, and regulatory analysis.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.