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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Custom Diffusion is a lightweight fine-tuning method that teaches a text-to-image model new personal concepts, like your dog or a specific chair, from just…
Visual AILatent blending mixes images by combining their compressed representations inside a model's latent space rather than averaging raw pixels.
CompaniesWhat is a liquid foundation model? Learn how Liquid AI's non-Transformer LFMs work, use less memory, and differ from standard AI architectures.
CompaniesReka AI is a research company building natively multimodal models that understand text, images, video, and audio together.
CompaniesSakana AI is a Tokyo-based lab that applies nature-inspired methods to AI, most notably using evolutionary algorithms to merge existing open models into new…
CompaniesAugment Code is an AI coding platform built specifically for large, real-world codebases, not toy demos.
CompaniesSierra is a company founded by Bret Taylor and Clay Bavor that builds branded AI agents to handle customer service for businesses.
CompaniesDecagon builds AI support agents that companies use to automate customer service conversations at scale.
Audio AIWhisper word alignment pins each transcribed word to an exact start and end time in the audio.
Audio AIMusic tagging uses transformer models to listen to a song and predict descriptive labels like genre, mood, instruments, and tempo.
Audio AIOnset detection finds the precise moments when notes, beats, or sounds begin in an audio signal.
Language AIConstituency parsing breaks a sentence into nested phrases like noun phrases and verb phrases, revealing its grammatical structure as a tree.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.