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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Language AI
LLM Evaluations
LLM evaluation measures a language model or application against defined tasks and failure conditions.
Language AIModel Context Protocol
Model Context Protocol, or MCP, defines a common interface through which an AI host can connect to servers offering tools, resources, and prompts.
Language AITool Calling
Tool calling lets a model request an operation through a defined interface.
Language AIAI Summarization
AI summarization creates a shorter representation of source material.
Language AIRetrieval Quality
Retrieval quality measures whether a search system returns useful evidence for a query and places it where a reader or downstream model can use it.
Language AIStructured Outputs
Structured outputs organize model responses into a defined shape, such as a JSON object validated against a schema.
Language AIMultilingual LLMs
A multilingual language model works with more than one language using shared learned representations.
Language AIReversal Curse in LLMs
The reversal curse is a surprising failure mode where a language model that learns 'A is B' cannot reliably answer 'B is A.
Language AILost in the Middle Effect
The 'lost in the middle' effect is the tendency of language models to use information best when it appears at the start or end of a long input…
Language AIEmergent Abilities of Large Language Models
Emergent abilities are skills that appear suddenly in large language models once they pass a certain scale, even though smaller models showed no sign of them.
Language AIContrastive Decoding
Contrastive decoding generates higher-quality text by subtracting the tendencies of a small, weak language model from those of a large, strong one.
Language AIGuided Beam Search with Constraints
Constrained beam search forces a language model's output to satisfy hard requirements, like including specific words or matching a grammar, while still…
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