AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Ücretsiz AI kütüphanesi
1019 Herkesin modern yapay zekayı anlayabilmesi için bağımsız bir 501(c)(3) kar amacı gütmeyen kuruluşu tarafından oluşturulmuş sade İngilizce kılavuzlar, yapılandırılmış öğrenme yolları ve açık bir kütüphane.
Buradan başlayın
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.
Konu parçaları
İlgilendiğiniz alana atlayın. Her parçanın birden fazla sade İngilizce kılavuzu vardır.
Tam kütüphane
1019 arasında 1019 gösterilen kılavuzlar. Parçaya göre filtreleyin veya yukarıda arayın.
AI in education can support tutoring, feedback, accessibility, planning, and administrative work.
EndüstrilerAI in science can help analyze measurements, search literature, design experiments, and model complex systems.
EndüstrilerAI and climate work includes forecasting, remote sensing, energy optimization, disaster planning, and climate research.
EndüstrilerAI in law can assist research, document review, drafting, discovery, and matter organization.
TeknikAn AI benchmark is a defined set of tasks, data, and scoring rules used to compare systems.
TeknikAI hardware executes the numerical operations used to train and run models.
TeknikReinforcement learning trains an agent to choose actions using feedback about their consequences.
TeknikAI and robotics combine perception, planning, control, and physical action.
TemellerMachine learning builds models whose behavior is fitted from examples rather than written entirely as explicit rules.
TemellerSupervised learning fits a model using examples that pair inputs with target outputs.
TemellerUnsupervised learning looks for structure in data without a target label for every example.
TemellerGenerative 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.