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.
Visual AI
Non-Maximum Suppression
Non-Maximum Suppression (NMS) is the cleanup step that turns a messy pile of overlapping detection boxes into one tidy box per object.
Visual AISpatial Transformer Networks
Spatial Transformer Networks (STNs) are learnable modules that let a neural network actively warp, rotate, crop, or rescale its input to focus on what…
TechnicalDisaggregated Prefill and Decode Serving
A serving architecture that splits large language model inference into two separate phases—prefill and decode—and runs them on different pools of GPUs.
TechnicalLLM Inference Routing and Load Balancing
The control layer that decides which model replica, GPU, or backend should handle each incoming LLM request, and how to spread traffic so no single server is…
TechnicalTensor Parallelism for Large Models
A way to split the math inside a single neural-network layer across multiple GPUs so a model too big for one device can still run.
ApplicationsAI in Phishing Detection
AI scans emails, links, and websites at machine speed to flag the deceptive messages that try to trick people into handing over passwords or money.
ApplicationsAI in Music Recommendation Systems
AI decides what song plays next by learning your taste from billions of listening signals and the sound of the music itself.
ApplicationsAI in Video Content Moderation
AI reviews uploaded and livestreamed video to detect harmful material like violence, nudity, or hate speech far faster than human moderators could alone.
Audio AIAudio Embeddings and Representation Learning
Audio embeddings turn sound into compact numerical vectors that capture meaning, so machines can compare, search, and classify audio the way humans recognize…
CompaniesLlama Model Family
Llama is Meta's family of open-weight large language models that anyone can download, run, and fine-tune for free.
CompaniesClaude Model Family
Claude is Anthropic's family of large language models, built with a strong emphasis on safety, helpfulness, and honesty.
TechnicalSelf-Reflection in Agent Loops
Self-reflection lets an AI agent critique its own outputs and actions mid-task, then revise based on that critique.
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.