01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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133 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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Visual AI
Novel View Synthesis
Novel view synthesis generates photorealistic images of a scene from viewpoints that were never actually photographed.
Visual AIMuse Masked Generative Imaging
Muse is a text-to-image model from Google that generates pictures by filling in masked image tokens all at once, making it far faster than step-by-step…
Visual AIParti Pathways Autoregressive Imaging
Parti (Pathways Autoregressive Text-to-Image) generates pictures the way language models write sentences: one image token at a time, predicting the next…
Visual AIImagen 2 and Reward-Tuned Diffusion
Imagen 2 is Google's photorealistic diffusion-based text-to-image model, refined with reward tuning so its outputs better match what people actually want.
Visual AILaMa Resolution-Robust Inpainting
LaMa (Large Mask inpainting) is a fast, lightweight neural network that fills missing or removed regions of an image cleanly, even when the hole is huge.
Visual AIStable Video Diffusion
Stable Video Diffusion (SVD) is Stability AI's open foundation model that turns a single still image into a short, smoothly moving video clip.
Visual AILumiere Space-Time Video Generation
Lumiere is a text-to-video diffusion model from Google Research that generates an entire video clip at once using a Space-Time U-Net.
Visual AIMip-NeRF and Anti-Aliased Radiance Fields
Mip-NeRF fixes the blurry, jagged artifacts that plague the original NeRF when you render scenes at different distances or resolutions.
Visual AIPlenoxels and Voxel Radiance Fields
Plenoxels showed that you can reconstruct a 3D scene with NeRF-quality results without any neural network at all — just a grid of voxels storing color…
Visual AIDUSt3R Dense 3D Reconstruction
DUSt3R reconstructs dense 3D geometry from a handful of ordinary photos without needing known camera positions or calibration.
Visual AITune-A-Video One-Shot Editing
Tune-A-Video fine-tunes a pretrained text-to-image diffusion model on a single video so it can re-edit that clip from new text prompts.
Visual AIDreamFusion and Score Distillation Sampling
DreamFusion generates 3D objects from text by using a 2D image diffusion model as a critic, never training on any 3D data.
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