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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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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Mimi is a neural audio codec that compresses speech into a tiny stream of discrete tokens in real time, so AI models can listen and speak with very low…
Audio AIListen, Attend and Spell (LAS) is a landmark 2015 neural network that transcribes speech directly into characters, with no hand-built pronunciation…
Audio AISpecAugment is a simple but powerful data augmentation method that masks and warps the spectrogram of speech to make recognition models more robust.
Audio AIMusic auto-tagging uses machine learning to listen to a song and automatically attach descriptive labels like genre, mood, instruments, and tempo.
Audio AITimbre transfer reshapes the 'tone color' of audio so one instrument sounds like another, turning a hummed melody into a violin or a trumpet line…
Audio AIAcoustic scene classification (ASC) trains machines to recognize the environment a recording was made in, a busy street, a quiet park, a train, a cafe…
Audio AINVIDIA Riva is a GPU-accelerated SDK for production speech AI (ASR, TTS, and translation), while NeMo is the open-source toolkit for training and fine-tuning…
Audio AIDeepSpeech is an end-to-end speech recognition model introduced by Baidu in 2014 that maps raw audio features directly to text using a recurrent neural…
Audio AIX-vectors are fixed-length numerical fingerprints of a speaker's voice produced by a neural network, used to tell who is speaking regardless of what they say.
Audio AIGlow-TTS is a text-to-speech model that learns to align text to speech on its own using a clever search trick, removing the need for a separate aligner.
Audio AIParallel WaveGAN is a fast neural vocoder that turns a mel-spectrogram into a raw audio waveform using a small GAN, generating all samples at once.
Audio AIWaveGlow is a flow-based neural vocoder from NVIDIA that synthesizes speech waveforms from mel-spectrograms in a single pass without autoregression.
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