01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Free AI library
Learn AI.Free forever.
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.
1019Free guides
9Topic tracks
~2 minPer guide
~34hReading time
Start here
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.
Topic tracks
Browse by track
Jump into the area you care about. Every track has multiple plain-English guides.
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
Full library
All guides
1019 of 1019 guides shown. Filter by track or search above.
Applications
Human-in-the-Loop Agents
Human-in-the-loop (HITL) agents are AI systems that pause to get a person's approval, correction, or input before taking consequential actions.
ApplicationsAgent Guardrails
Agent guardrails are the safety rules, filters, and limits that constrain what an AI agent is allowed to do, say, or access.
ApplicationsAI Meeting Notetakers
AI meeting notetakers join your video or audio calls, transcribe everything spoken, and automatically produce summaries, action items, and searchable records.
CompaniesHarvey AI
Harvey AI is a domain-specific generative AI platform built for law firms and corporate legal teams.
CompaniesGlean
Glean is an enterprise AI search and work assistant that connects to all of a company's apps to answer questions and find information across them.
CompaniesLuma AI
Luma AI is a generative media company best known for Dream Machine, a tool that turns text and images into realistic video, and for fast 3D capture…
IndustriesAI in Supply Chain Optimization
AI in supply chain optimization uses machine learning to forecast demand, route shipments, and balance inventory across complex global networks.
IndustriesAI in Warehouse Robotics
AI in warehouse robotics gives machines the perception and coordination to move goods, pick items, and navigate crowded floors safely.
IndustriesAI in Quality Inspection
AI in quality inspection uses computer vision to spot defects on production lines faster and more consistently than the human eye.
Language AIDirect Preference Optimization
Direct Preference Optimization (DPO) is a way to align language models with human preferences without training a separate reward model or running…
Language AIReward Modeling
A reward model is a neural network trained to predict how good an AI response is, acting as an automated stand-in for human judgment.
Language AIProximal Policy Optimization
Proximal Policy Optimization (PPO) is the reinforcement learning algorithm most associated with fine-tuning language models from human feedback.
Finished reading? Prove it.
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.