01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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111 plain-English guides, structured learning paths, and an open library — built by an independent 501(c)(3) nonprofit so anyone can understand modern AI.
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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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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.
ApplicationsAI Recommendation Systems
Recommendation systems are the AI engines that decide what you see next: the movie Netflix surfaces, the product Amazon suggests, the next video on YouTube.
ApplicationsAI Fraud Detection
AI fraud detection uses machine learning to spot suspicious transactions, accounts, and behaviors in real time, before money disappears.
ApplicationsAI Anomaly Detection
Anomaly detection is AI that learns what 'normal' looks like and then flags anything that doesn't fit, from a failing machine to a network intrusion.
ApplicationsAI Slide Generation
AI slide generation turns a prompt, outline, or document into a formatted presentation deck in seconds.
ApplicationsAI Browser Automation
AI browser automation lets a model see and control a web browser, clicking, typing, and navigating like a person to complete tasks.
ApplicationsAI Data Extraction Pipelines
AI data extraction pipelines turn messy, unstructured sources like PDFs, emails, and scanned forms into clean, structured data.
ApplicationsAI Test Generation
AI test generation uses machine learning and large language models to automatically write software tests, freeing developers from tedious manual work.
ApplicationsAI Demand Forecasting
AI demand forecasting predicts how much of a product or service customers will want, using machine learning to crunch sales history, prices, weather…
ApplicationsAI Personalization Engines
AI personalization engines tailor what each user sees, from product recommendations to homepage layouts, by learning individual tastes from behavior.
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