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
Optical Character Recognition
Optical Character Recognition (OCR) turns images of text — scanned documents, photos of signs, PDFs — into machine-readable, editable text.
Visual AIOptical Flow
Optical flow estimates how each pixel moves between consecutive video frames, producing a dense map of motion vectors.
Visual AIMonocular Depth Estimation
Monocular depth estimation predicts how far away every pixel is from a single ordinary photo — no stereo camera, lidar, or depth sensor required.
Visual AILatent Diffusion Models
Latent diffusion models generate images by running the diffusion process in a compressed latent space instead of raw pixels, slashing compute costs.
Visual AIControlNet
ControlNet is an add-on that gives image-generation models precise structural control, letting you steer output with edges, poses, depth maps, or scribbles.
Visual AIClassifier-Free Guidance
Classifier-free guidance is the technique that makes diffusion models actually follow your prompt, trading some diversity for much stronger adherence.
Visual AIVisual SLAM
Visual SLAM lets a moving camera build a map of an unknown space while simultaneously tracking its own position inside that map.
Visual AISora and Text-to-Video
Sora is OpenAI's text-to-video model that turns a written prompt into a short, high-resolution video clip.
Visual AIVideo Diffusion Models
Video diffusion models generate moving images by gradually turning random noise into coherent frames, extending the diffusion idea from pictures to time.
Visual AIText-to-3D Generation
Text-to-3D generation turns a written prompt like 'a vintage leather armchair' into a full 3D model you can rotate, light, and drop into a game or scene.
Visual AIDifferentiable Rendering
Differentiable rendering makes the process of turning a 3D scene into a 2D image fully differentiable, so you can compute gradients from the rendered pixels…
Visual AIU-Net Architecture
U-Net is a convolutional neural network shaped like a 'U' that excels at producing pixel-precise outputs, originally for biomedical image segmentation.
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