01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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117 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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Five outcome-based courses
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
02
Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
03
AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
04
AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
05
Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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FundamentalsCore concepts: how AI works at a high level.84 guides Language AILLMs, NLP, ChatGPT, prompting, and text understanding.155 guides Visual AIImage generation, computer vision, video, and design.133 guides Audio AIVoice, music, podcasting, and audio-first AI.117 guides CompaniesProfiles of OpenAI, Anthropic, Google, Meta, and more.121 guides ApplicationsHow AI shows up in coding, search, agents, and daily life.111 guides IndustriesAI in healthcare, finance, education, energy, and more.91 guides TechnicalChips, fine-tuning, RAG, vectors, and AI infrastructure.177 guides SocietyBias, privacy, copyright, safety, and the AI future.30 guides
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Audio AI
EnCodec Audio Compression
EnCodec is Meta's high-fidelity neural audio codec that compresses speech and music at very low bitrates with quality rivaling far heavier formats.
Audio AIResidual Vector Quantization
Residual vector quantization (RVQ) is the technique that turns continuous audio embeddings into a compact stack of discrete codes by repeatedly quantizing…
Audio AIECAPA-TDNN Speaker Recognition
ECAPA-TDNN is a neural network architecture that turns any speech clip into a compact 'voiceprint' embedding, enabling machines to tell who is speaking.
Audio AISpeaker Anti-Spoofing and ASVspoof
Anti-spoofing is the defensive layer that detects fake or replayed voices trying to fool voice-authentication systems.
Audio AISpeech Denoising with RNNoise
RNNoise is a tiny, fast neural network that strips background noise from speech in real time.
Audio AIAudio Embeddings and Representation Learning
Audio embeddings turn sound into compact numerical vectors that capture meaning, so machines can compare, search, and classify audio the way humans recognize…
Audio AIAcoustic Echo Cancellation
Acoustic echo cancellation (AEC) is the technology that stops you from hearing your own voice bounce back during a call.
Audio AISpeech Separation and the Cocktail Party Problem
Speech separation is the task of pulling individual voices apart from a recording where several people talk at once.
Audio AIPermutation Invariant Training
Permutation invariant training (PIT) is a clever training trick that lets a model separate multiple voices without caring which output slot each voice lands…
Audio AIMusic Information Retrieval
Music Information Retrieval (MIR) is the field that teaches computers to analyze, understand, and search music from audio signals and scores.
Audio AIDemucs and HT-Demucs Music Source Separation
Learn how Demucs and HT-Demucs separate music into vocals and instrument stems using waveform, spectrogram, and transformer modeling.
Audio AIAudio Chord Recognition
Audio chord recognition is the task of automatically labeling the chords played throughout a song directly from its audio.
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