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
Small Language Models
Small language models (SLMs) are compact AI models, often a few hundred million to a few billion parameters, designed to run efficiently on phones, laptops…
FundamentalsConvolutional Neural Networks
Convolutional Neural Networks (CNNs) are the workhorse architecture for understanding images.
FundamentalsRecurrent Neural Networks
Recurrent Neural Networks (RNNs) are built to handle sequences like text, speech, and time series.
FundamentalsGenerative Adversarial Networks
Generative Adversarial Networks (GANs) create realistic new data by pitting two neural networks against each other in a contest.
FundamentalsDiffusion Models
Diffusion models generate images by learning to reverse a noising process, turning random static into detailed pictures step by step.
Language AISemantic Search
Semantic search finds results by meaning, not just matching keywords, so a query like "how to fix a leaky tap" can surface a page titled "repairing…
Language AIConversational AI
Conversational AI is technology that lets people interact with computers through natural back-and-forth dialogue, by text or voice, instead of menus…
Language AICoreference Resolution
Coreference resolution is the task of figuring out when different words in a text refer to the same thing, such as linking "she" or "the CEO" back to "Maria.
Language AIText Embeddings
Text embeddings turn words, sentences, or documents into lists of numbers (vectors) that capture meaning, so that texts with similar meanings end up close…
FundamentalsFew-Shot Learning
Few-shot learning is the ability to learn a new task from just a handful of examples instead of thousands.
TechnicalContrastive Learning
Contrastive learning teaches a model to pull similar things together and push dissimilar things apart in an embedding space.
TechnicalReinforcement Learning From Human Feedback
RLHF is the technique that turns a raw language model into a helpful, polite assistant by training it on human preferences.
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