01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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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
AI in Sports Refereeing and Officiating
AI assists referees by tracking the ball, players, and lines with cameras to make fast, objective calls on things like offsides, line calls, and goals.
ApplicationsAI in Athlete Injury Prediction
AI analyzes training loads, movement, and biometric data to estimate an athlete's injury risk before it happens.
Language AIProcess Supervision for Math Reasoning
Process supervision rewards a model for every correct step in a chain of reasoning, not just the final answer.
Language AIMulti-Token Prediction Training
Instead of predicting just the next token, the model is trained to predict several future tokens at once.
Language AISparse Autoencoders for Feature Extraction
Sparse autoencoders crack open the tangled activations inside a neural network into thousands of human-readable features.
IndustriesAI in Tattoo and Body Art Design
AI helps tattoo artists and clients generate, customize, and preview body art designs before a needle ever touches skin.
IndustriesAI in Veterinary Diagnostics Imaging
AI analyzes X-rays, ultrasounds, and other scans of animals to flag abnormalities and speed up diagnosis.
IndustriesAI in Pharmacy Dispensing and Verification
AI helps pharmacies fill prescriptions accurately by automating counting, identifying pills, and double-checking for dangerous drug interactions.
TechnicalSpeculative Decoding with EAGLE
Speculative decoding speeds up large language model inference by letting a tiny draft model guess several tokens ahead, which the big model then verifies…
FundamentalsTest-Time Training
Test-time training (TTT) lets a model keep learning from each new input at the moment it makes a prediction, instead of staying frozen after training.
FundamentalsGrokking and Delayed Generalization
Grokking is a startling phenomenon where a neural network first memorizes its training data, sits at near-zero validation accuracy for a long time, and then…
ApplicationsAI in Wind and Solar Power Forecasting
AI predicts how much electricity wind turbines and solar panels will produce hours or days ahead by learning from weather data and past output.
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