01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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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.
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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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Industries
AI in Insurance
AI in insurance can support underwriting, pricing, claims, fraud review, and customer service.
IndustriesAI in Telecom
AI in telecom can optimize networks, detect faults, forecast demand, assist support, and manage radio or core-network resources.
IndustriesAI & Energy
AI in energy can forecast demand, optimize storage, inspect infrastructure, and help balance variable generation.
TechnicalAI Observability
AI observability uses measurements and records to understand how an AI application behaves.
TechnicalAI Model Monitoring
Model monitoring checks whether a deployed model and its inputs continue to behave as expected.
TechnicalAI Inference Optimization
Inference optimization reduces the resources or time required to run a model while preserving the quality needed for its task.
TechnicalAI Prompt Security
Prompt security addresses attempts to make a language-model application treat untrusted content as instructions or disclose information it should protect.
TechnicalAI Data Governance
AI data governance assigns responsibility and rules for how data is collected, used, shared, retained, and corrected throughout an AI system.
TechnicalAI Cloud Architecture
AI cloud architecture organizes compute, storage, networking, models, and application services into an operating system for an AI workload.
SocietyAI Trust Calibration
Trust calibration means relying on an AI system in proportion to evidence about what it can do.
SocietyAI & Digital Education
AI in digital education includes lesson planning, tutoring, feedback, translation, accessibility, and administrative support.
SocietyAI Ethics
AI ethics examines how AI development and use affect people, institutions, and the environment.
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