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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Companies
Allen Institute for AI
The Allen Institute for AI (AI2) is a Seattle nonprofit research lab founded by Microsoft co-founder Paul Allen in 2014.
CompaniesStanford HAI
Stanford HAI (the Stanford Institute for Human-Centered Artificial Intelligence) is a university research institute studying AI's impact on people…
CompaniesBaidu Ernie
ERNIE is a family of large language models developed by Baidu, China's leading search company.
Visual AIResidual Networks
Residual Networks (ResNets) are deep neural networks that add 'skip connections' letting layers learn small adjustments instead of full transformations.
Visual AIRegion-Based CNNs
Region-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 AISwin Transformer
The Swin Transformer is a vision Transformer that processes images in shifted, hierarchical windows, making attention efficient enough to scale across…
Visual AIOptical Character Recognition
Optical Character Recognition (OCR) turns images of text — scanned documents, photos of signs, PDFs — into machine-readable, editable text.
Visual AIOptical Flow
Optical flow estimates how each pixel moves between consecutive video frames, producing a dense map of motion vectors.
Visual AIMonocular Depth Estimation
Monocular depth estimation predicts how far away every pixel is from a single ordinary photo — no stereo camera, lidar, or depth sensor required.
ApplicationsReflexion and Self-Correcting Agents
Reflexion is a technique where an AI agent reflects in writing on its own failures and feeds those lessons back into its next attempt.
ApplicationsMulti-Agent Orchestration
Multi-agent orchestration coordinates several specialized AI agents so they collaborate on a task that is too large or varied for one agent.
ApplicationsAgent Memory Systems
Agent memory systems give AI agents a way to remember information beyond a single context window, across turns, sessions, and tasks.
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