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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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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Image harmonization automatically adjusts a pasted foreground object so its color, lighting, and tone match the new background, making composites look real.
Visual AISDXL is Stability AI's high-resolution text-to-image model that pairs a powerful base generator with a refiner, while cascaded diffusion chains multiple…
Visual AIGLIGEN (Grounded-Language-to-Image Generation) lets you control exactly where objects appear in a generated image by feeding the model bounding boxes…
Visual AILearn T2I-Adapter for multi-conditional diffusion control: how it steers Stable Diffusion with edges, depth, pose, and other conditions using a lightweight…
Visual AINull-text inversion is a technique that lets you edit a real photo with a text-driven diffusion model like Stable Diffusion while keeping everything you…
Visual AICustom Diffusion is a lightweight fine-tuning method that teaches a text-to-image model new personal concepts, like your dog or a specific chair, from just…
Visual AILatent blending mixes images by combining their compressed representations inside a model's latent space rather than averaging raw pixels.
Visual AIVision-Language-Action (VLA) models are large neural networks that take in camera images plus a written instruction and directly output robot motor commands.
Visual AIDiffusion Policy applies the same denoising idea behind image generators like Stable Diffusion to robot control: instead of predicting a single next action…
Visual AIMake-A-Video is Meta's 2022 system that turns a text prompt into a short video clip without ever training on labeled text-video pairs.
Visual AIImagen Video is Google's 2022 text-to-video system that builds a clip through a cascade of seven diffusion models, each adding more frames or more resolution.
Visual AICogVideo (2022) was the first large-scale open text-to-video model, and CogVideoX (2024) is its far more capable open-source successor from Tsinghua/Zhipu AI.
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