AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Free AI library
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.
Start here
Each course includes explicit outcomes, mapped competencies, practice activities, and an applied capstone.
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
Topic tracks
Jump into the area you care about. Every track has multiple plain-English guides.
Full library
1019 of 1019 guides shown. Filter by track or search above.
AI customer service systems answer questions, classify requests, summarize conversations, and propose resolutions.
ApplicationsAI in HR can help organize applications, schedule interviews, summarize feedback, or support workforce planning.
IndustriesAI in agriculture can support crop monitoring, disease detection, yield forecasting, irrigation, and farm logistics.
IndustriesAI in manufacturing can inspect products, predict maintenance, plan production, and optimize processes.
IndustriesAI in retail can forecast demand, personalize discovery, detect fraud, optimize inventory, and assist shoppers.
IndustriesAI in logistics can forecast demand, route vehicles, estimate arrival times, inspect shipments, and coordinate warehouses.
IndustriesAI in real estate can estimate prices, match properties, process documents, forecast maintenance, and support transactions.
TechnicalFine-tuning continues training an existing model on a selected dataset or objective.
TechnicalRetrieval-augmented generation, or RAG, supplies retrieved material to a generative model when answering a request.
TechnicalA vector database stores numerical representations and retrieves records using a similarity measure, often alongside metadata filters.
TechnicalEdge AI runs model processing close to where data is collected or used, such as on a phone, camera, vehicle, or local gateway.
TechnicalQuantum AI describes intersections between quantum computing and machine learning, such as using quantum circuits in learning algorithms or using machine…
Check what you learned with topic quizzes, then explore our structured courses and current certification requirements. Core guides remain free to read.