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.
Audio AI
Speech Separation and the Cocktail Party Problem
Speech separation is the task of pulling individual voices apart from a recording where several people talk at once.
Audio AIPermutation Invariant Training
Permutation invariant training (PIT) is a clever training trick that lets a model separate multiple voices without caring which output slot each voice lands…
CompaniesGoogle Imagen
Google Imagen is Google DeepMind's family of text-to-image diffusion models that turn written prompts into photorealistic pictures.
CompaniesGoogle Veo
Google Veo is Google DeepMind's text-to-video generation model that creates high-resolution, cinematic video clips from text or image prompts.
CompaniesGroq
Groq is a hardware company that builds the LPU (Language Processing Unit), a custom chip designed to run AI language models at extremely high speed.
FundamentalsROC Curves and AUC
An ROC curve plots how well a classifier separates two classes across every possible decision threshold, and AUC compresses that whole curve into one number.
FundamentalsConfusion Matrices
A confusion matrix is a simple table that breaks a classifier's predictions into correct and incorrect counts for each class.
TechnicalClass Imbalance and Resampling
Class imbalance is when one outcome vastly outnumbers another — like 99.9% legitimate transactions versus 0.
CompaniesEleutherAI
EleutherAI is a grassroots nonprofit research collective that pioneered open-source large language models when frontier AI was locked behind corporate walls.
CompaniesNous Research
Nous Research is a community-driven AI lab known for fine-tuning popular open models into highly capable, less-restricted assistants and for pushing…
ApplicationsAI in Customer Churn Prediction
Churn prediction uses machine learning to flag which customers are likely to cancel or stop buying before they actually leave.
Visual AIStereo Depth Estimation
Stereo depth estimation recovers how far away things are by comparing two slightly offset camera views, just like your two eyes do.
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.