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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Neural Radiance Fields (NeRF) reconstruct a full 3D scene from a handful of ordinary photos, letting you fly the camera to brand-new viewpoints.
Visual AIGaussian Splatting represents a 3D scene as millions of tiny, colored, semi-transparent blobs that can be rendered in real time.
Visual AIMasked Autoencoders (MAE) are a self-supervised method that teaches a vision model to reconstruct images after most of the picture has been hidden.
Visual AIImage captioning is the task of automatically generating a natural-language sentence that describes what is in a picture.
Visual AIVisual Question Answering (VQA) lets a system answer free-form natural-language questions about an image, such as 'How many people are wearing hats?
Visual AIYOLO (You Only Look Once) is a family of object detection models that find and label every object in an image with a single neural network pass, fast enough…
Visual AIPanoptic segmentation gives every single pixel in an image a label, unifying 'what is this region' with 'which specific object is this.
Visual AIHuman pose estimation detects the positions of body joints, such as elbows, knees, and shoulders, to build a digital skeleton of a person from images…
Visual AIFLUX is a family of open text-to-image models from Black Forest Labs known for sharp detail, strong prompt-following, and surprisingly accurate rendered text.
Visual AIResidual Networks (ResNets) are deep neural networks that add 'skip connections' letting layers learn small adjustments instead of full transformations.
Visual AIRegion-Based CNNs (R-CNNs) are a family of object detectors that first propose candidate regions in an image, then use a CNN to classify and precisely box…
Visual AIThe Swin Transformer is a vision Transformer that processes images in shifted, hierarchical windows, making attention efficient enough to scale across…
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.