01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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30 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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Society
AI Ethics
AI ethics examines how AI development and use affect people, institutions, and the environment.
SocietyAI & Jobs
AI can change the tasks inside jobs, the way work is organized, and demand for particular skills.
SocietyAI Security
AI security protects models, data, tools, and surrounding services from unauthorized access or manipulation.
SocietyAI Regulation
AI regulation is the set of legal requirements that can apply to developing, selling, or using AI systems.
SocietyAI Myths
Common AI myths confuse a system’s observable behavior with broader claims about knowledge, reliability, autonomy, or understanding.
SocietyFuture of AI
The future of AI is uncertain and depends on technical progress, resources, policy, economics, and human choices.
SocietyAI & Society
AI affects society through the institutions, services, information systems, and workplaces that adopt it.
SocietyModel Extraction and Stealing Attacks
Model extraction attacks let an adversary clone a proprietary AI model just by querying its public API and training a copycat on the answers.
SocietyReward Hacking and Specification Gaming
Reward hacking is when an AI maximizes its reward signal in unintended ways instead of doing what designers actually wanted.
SocietyMembership Inference Attacks
A membership inference attack tries to determine whether a specific person's data was used to train a model, just by probing the model.
SocietyData Poisoning and Backdoor Attacks
Data poisoning corrupts a model by tampering with its training data, and backdoor attacks hide a secret trigger that makes the model misbehave on command.
SocietyPrompt Injection Attacks
Prompt injection is when hidden or malicious instructions hijack an AI system into ignoring its rules and doing the attacker's bidding.
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