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
Autoregressive Image Generation
Autoregressive image generation builds pictures one piece at a time, predicting each token from everything generated before it.
Visual AIVQ-VAE and Discrete Latents
VQ-VAE compresses images, audio, or video into a small grid of discrete codes drawn from a learned codebook, instead of continuous numbers.
Visual AISegment Anything Model
The Segment Anything Model (SAM) is Meta AI's foundation model for image segmentation: given a point, box, or rough hint, it instantly outlines…
Visual AITextual Inversion
Textual Inversion teaches an image generator a brand-new concept—like a specific cat, art style, or product—by learning a single fresh word for it, without…
Visual AIDreamBooth
DreamBooth fine-tunes an entire image model on a handful of photos so it deeply 'remembers' a specific subject—your face, pet, or product—and can place it…
Visual AIInpainting and Outpainting
Inpainting fills in or replaces a masked region inside an image, while outpainting extends an image beyond its original borders.
Visual AIAction Recognition
Action recognition is the task of teaching computers to identify what people or objects are *doing* in video — running, waving, falling, opening a door — not…
Visual AIVideo Frame Interpolation
Video frame interpolation generates new, in-between frames from existing ones to make video smoother or slower — turning 30fps footage into 60fps…
Visual AIMulti-Object Tracking
Multi-object tracking (MOT) follows many objects — pedestrians, cars, players — across the frames of a video, giving each a consistent identity over time.
Visual AIAI in Medical Imaging
AI in medical imaging uses computer vision to read X-rays, CT scans, MRIs, ultrasounds, and mammograms, spotting abnormalities and prioritizing urgent cases.
Visual AIImage Super-Resolution
Image super-resolution uses AI to turn low-resolution, blurry images into sharp, high-resolution ones by intelligently inventing plausible detail.
Visual AIFlow Matching
Flow matching is a newer way to train generative models that learns a smooth 'velocity field' carrying random noise straight to realistic data.
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