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
Audio Captioning
Audio captioning generates a natural-language sentence describing the content of an audio clip, such as 'a train horn blares as it passes a level crossing.
Audio AIWhisper Speech Recognition
Whisper is OpenAI's open-source automatic speech recognition system that turns audio into text across 90+ languages.
Audio AIWav2Vec 2.0
Wav2Vec 2.0 is Meta AI's self-supervised speech model that learns powerful audio representations from raw, unlabeled recordings.
Audio AIHuBERT Self-Supervised Speech
HuBERT (Hidden-Unit BERT) is Meta AI's self-supervised speech model that learns by predicting clustered audio units for masked segments, BERT-style.
Audio AINeural Vocoders
A neural vocoder is a model that turns a compact acoustic representation, usually a mel-spectrogram, into an actual audible waveform.
Audio AINeural Audio Codecs
Neural audio codecs use deep learning to compress sound into tiny streams of discrete tokens and reconstruct it with high fidelity.
Audio AIVALL-E and Codec Language Models
VALL-E reframed text-to-speech as a language modeling problem over audio codec tokens, enabling voice cloning from just three seconds of a sample.
Audio AIOpenAI Whisper
Whisper is OpenAI's open-source automatic speech recognition system that transcribes and translates spoken audio across dozens of languages.
Audio AIAutomatic Music Transcription
Automatic Music Transcription (AMT) converts a raw audio recording of music into a symbolic notation like sheet music, MIDI, or a piano roll.
Audio AIBeat and Tempo Tracking
Beat and tempo tracking is the task of finding the steady pulse in music: where each beat falls and how fast the song moves in beats per minute (BPM).
Audio AIAudio Fingerprinting
Audio fingerprinting creates a compact, noise-resistant digital signature of a sound so it can be recognized later, even through background noise…
Audio AIJukebox
Jukebox is OpenAI's 2020 neural network that generates raw music audio — complete with singing voices, instruments, and even lyrics in the style of specific…
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