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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Visual AI
DreamFusion and Score Distillation Sampling
DreamFusion generates 3D objects from text by using a 2D image diffusion model as a critic, never training on any 3D data.
Visual AIMagic3D Text-to-3D Pipeline
Magic3D is NVIDIA's two-stage answer to DreamFusion, producing higher-resolution, more detailed 3D content faster.
Language AITokenizer-Free Byte-Level Models
Tokenizer-free models drop the fixed vocabulary of word-pieces and operate directly on raw bytes, letting one model handle any language, code, or even noisy…
Language AIFunction Vectors and Task Representations
Function vectors are compact directions inside a language model's hidden states that encode an entire task, like 'translate to French' or 'return the antonym.
Language AIBest-of-N Sampling and Reranking
Best-of-N sampling generates several candidate answers from a model and then picks the best one using a separate scoring step.
Audio AIStyleTTS 2 Style Diffusion
StyleTTS 2 is a text-to-speech model that treats voice 'style' — prosody, emotion, and speaker timbre — as a random variable sampled with a diffusion model…
Audio AIFastPitch Pitch-Controllable TTS
FastPitch is a fast, non-autoregressive text-to-speech model that explicitly predicts the pitch (fundamental frequency) of every input token, letting you…
Audio AIVoicebox Flow-Matching Speech Generation
Voicebox is Meta's text-guided speech generation model trained with a flow-matching objective to 'fill in' masked audio, letting one model do zero-shot voice…
TechnicalSmoothQuant and Activation Quantization
SmoothQuant is a technique that makes it possible to compress large language models down to 8-bit integers for both weights and activations without…
TechnicalStructured Pruning and Layer Dropping
Structured pruning removes whole components of a neural network, such as attention heads, neurons, or entire layers, so the slimmer model runs faster…
TechnicalSpeculative Streaming and Multi-Token Prediction
Speculative streaming and multi-token prediction speed up language model generation by guessing several future tokens at once and verifying them in a single…
CompaniesOpenAI GPT-4.5 and GPT-5
GPT-4.5 and GPT-5 are OpenAI's flagship large language models that power ChatGPT and its API.
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