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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Technical
Model Merging
Model merging combines the weights of two or more trained neural networks into a single model — without any retraining or access to the original training…
FundamentalsEnsemble Methods and Gradient Boosting
Ensemble methods combine many simple models so the group makes better predictions than any single model.
FundamentalsBayesian Deep Learning
Bayesian deep learning treats a neural network's weights as probability distributions rather than fixed numbers, so the model can say how confident it is.
ApplicationsPlanner-Executor Agents
Planner-executor agents split an AI system into two roles: a planner that breaks a goal into steps, and an executor that carries each step out.
ApplicationsComputer-Using Agents
Computer-using agents operate a computer the way a person does: viewing the screen, moving the cursor, clicking, and typing.
ApplicationsAgentic RAG
Agentic RAG upgrades ordinary retrieval-augmented generation by letting an agent decide when, what, and how many times to search before answering.
CompaniesTogether AI
Together AI is a cloud platform built specifically for open-source AI, letting developers run, fine-tune, and train models like Llama and DeepSeek on fast…
CompaniesDatabricks
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a single 'lakehouse' foundation.
CompaniesScale AI
Scale AI is a company that supplies the high-quality labeled and curated data that powers modern AI models.
CompaniesElevenLabs
ElevenLabs is the leading AI voice company, known for hyper-realistic text-to-speech and voice cloning.
CompaniesSuno
Suno is an AI company that generates complete songs—vocals, lyrics, and instrumentation—from a simple text prompt.
CompaniesBlack Forest Labs
Black Forest Labs is the AI image-generation company behind the FLUX models, founded by the original creators of Stable Diffusion.
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