AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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1019 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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StyleGAN is a generative adversarial network from NVIDIA that produces strikingly realistic faces and objects by injecting style information at every layer.
Visual AIProgressive growing trains a GAN by starting at tiny resolutions and gradually adding layers to reach high-resolution images.
Visual AIAnimateDiff is a technique that adds motion to existing text-to-image diffusion models like Stable Diffusion, turning still-image generators into short video…
Visual AIDETR (DEtection TRansformer) reframes object detection as a direct set-prediction problem solved with a transformer, removing hand-designed steps like anchor…
Visual AIOpen-vocabulary object detection lets a model find and box objects described by arbitrary text, including categories it never saw labeled during training.
IndustriesAI helps railways predict equipment failures, optimize train schedules, and improve safety across vast networks of tracks, signals, and rolling stock.
IndustriesAI helps buses, subways, and ride services run on time, predict demand, and adapt routes to how people actually travel.
IndustriesAI helps mining companies find ore deposits, run autonomous haul trucks, and keep workers out of the most dangerous parts of the operation.
TechnicalImitation learning teaches an AI to perform a task by copying expert demonstrations instead of learning from trial-and-error rewards.
TechnicalInverse reinforcement learning (IRL) flips standard RL: instead of being given a reward and finding a policy, it watches expert behavior and infers…
TechnicalOffline reinforcement learning trains agents purely from a fixed, previously collected dataset, with no live interaction with the environment.
Visual AIPhotogrammetry turns ordinary overlapping photographs into accurate 3D models, maps, and measurements.
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