01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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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
Image Matting
Image matting is the art of cutting a subject out of a photo with pixel-perfect, semi-transparent edges — capturing every wispy strand of hair or motion blur.
Visual AIIP-Adapter for Image Prompts
IP-Adapter is a lightweight add-on that lets diffusion models like Stable Diffusion accept an image as a prompt, not just text.
Visual AIImagen Text-to-Image
Imagen is Google's text-to-image system that turns written descriptions into photorealistic pictures.
Visual AIGLIDE Diffusion Model
GLIDE was an early OpenAI text-to-image diffusion model that showed prompts plus 'classifier-free guidance' could beat earlier GAN-based systems.
Visual AIPerceptual Loss and LPIPS
Perceptual loss measures how similar two images look to humans by comparing deep neural network features instead of raw pixels.
Visual AIStyleGAN Architecture
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 of GANs
Progressive growing trains a GAN by starting at tiny resolutions and gradually adding layers to reach high-resolution images.
Visual AIAnimateDiff Motion Generation
AnimateDiff 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 Transformer Detection
DETR (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
Open-vocabulary object detection lets a model find and box objects described by arbitrary text, including categories it never saw labeled during training.
Visual AIPhotogrammetry
Photogrammetry turns ordinary overlapping photographs into accurate 3D models, maps, and measurements.
Visual AIVisual Odometry
Visual odometry estimates how a camera moves through the world by tracking how the image changes frame to frame.
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