01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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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
MusicLM: Hierarchical Semantic and Acoustic Tokens
Learn how Google MusicLM uses hierarchical semantic and acoustic tokens, SoundStream, and MuLan to turn text prompts into coherent music.
Audio AINoise2Noise Speech Enhancement
Noise2Noise is a training trick that lets a model learn to remove noise without ever seeing a clean reference, by learning from pairs of differently-noisy…
ApplicationsAI in Telescope and Astronomical Image Analysis
AI sifts through the flood of images and signals from modern telescopes to find, classify, and measure objects no human team could review by hand.
ApplicationsAI in Particle Physics Event Reconstruction
AI reconstructs what particles did inside detectors like those at the Large Hadron Collider, turning raw sensor hits into tracks, energies, and particle…
ApplicationsAI in Materials Discovery
AI predicts which new materials might exist, be stable, and have useful properties, dramatically shrinking the search through a near-infinite space…
Visual AIDenoising and Deblurring Networks
Denoising and deblurring networks are neural models that clean up noisy or blurry images, recovering sharp detail from messy inputs.
Visual AIGFPGAN Face Restoration
GFPGAN is a specialized model that restores low-quality, blurry, or old face photos into sharp, realistic portraits.
Visual AICodeFormer Robust Face Recovery
CodeFormer is a face restoration model built to handle extreme degradation, recovering recognizable faces from heavily damaged, tiny, or blurry inputs.
Audio AIConv-TasNet Time-Domain Separation
Conv-TasNet is a neural network that separates mixed audio (like two people talking at once) by working directly on the raw sound waveform instead…
Audio AIDual-Path RNN Separation
Dual-Path RNN (DPRNN) is an audio separation architecture that splits a very long sequence of audio features into short overlapping chunks and processes them…
Audio AIOpen-Unmix Music Separation
Open-Unmix (UMX) is an open-source deep learning system that splits a song into its parts: vocals, drums, bass, and other instruments.
ApplicationsAI in Wildfire Spread Prediction
AI models forecast how a wildfire will grow, where it will move, and how fast, by fusing weather, terrain, vegetation, and live fire data.
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