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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Industries
AI in Precision Agriculture
AI in precision agriculture uses sensors, satellites, drones, and machine learning to manage crops at the level of individual plants rather than whole fields.
Language AIPrefix Tuning
Prefix tuning is a parameter-efficient way to adapt a frozen language model by training a small set of continuous vectors that get prepended to every layer's…
Language AIPrompt Tuning
Prompt tuning adapts a frozen language model by learning a handful of continuous 'soft prompt' vectors prepended to the input, rather than writing words…
Language AIRetrieval Reranking
Retrieval reranking is the second stage of modern search: after a fast retriever pulls a candidate set, a more powerful model re-scores those candidates so…
SocietyGDPR and Automated Decision-Making
The EU's General Data Protection Regulation gives people rights when computers make important decisions about them automatically.
SocietyAI Export Controls and Chip Restrictions
Governments, led by the United States, restrict the sale of advanced AI chips and chipmaking gear to limit rivals' AI capabilities.
Visual AIMasked Autoencoders
Masked Autoencoders (MAE) are a self-supervised method that teaches a vision model to reconstruct images after most of the picture has been hidden.
Visual AIImage Captioning
Image captioning is the task of automatically generating a natural-language sentence that describes what is in a picture.
Visual AIVisual Question Answering
Visual Question Answering (VQA) lets a system answer free-form natural-language questions about an image, such as 'How many people are wearing hats?
TechnicalFully Sharded Data Parallel
Fully Sharded Data Parallel (FSDP) is a distributed training technique that splits a model's parameters, gradients, and optimizer states across many GPUs so…
TechnicalGradient Checkpointing
Gradient checkpointing (also called activation checkpointing) is a memory-saving trick that throws away most intermediate activations during the forward pass…
TechnicalONNX and Model Interoperability
ONNX (Open Neural Network Exchange) is an open standard format for representing machine learning models so they can move freely between frameworks…
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