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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Companies
Salesforce Einstein
Salesforce Einstein is the AI layer built into Salesforce's customer relationship management (CRM) platform, adding predictions, recommendations…
TechnicalFP8 and Low-Precision Formats
FP8 is an 8-bit floating-point number format that lets AI models store weights and run math using a quarter of the memory of standard 32-bit numbers.
TechnicalPagedAttention and vLLM
PagedAttention is a memory-management technique that stores a language model's attention cache in small reusable blocks instead of one big contiguous chunk.
TechnicalContinuous Batching
Continuous batching is a serving technique that adds and removes requests from a running batch token-by-token, instead of waiting for a whole fixed batch…
Audio AINeural Vocoders
A neural vocoder is a model that turns a compact acoustic representation, usually a mel-spectrogram, into an actual audible waveform.
Audio AINeural Audio Codecs
Neural audio codecs use deep learning to compress sound into tiny streams of discrete tokens and reconstruct it with high fidelity.
Audio AIVALL-E and Codec Language Models
VALL-E reframed text-to-speech as a language modeling problem over audio codec tokens, enabling voice cloning from just three seconds of a sample.
Language AIFlashAttention
FlashAttention is a memory-efficient algorithm that computes the exact same attention as standard transformers but without ever writing the giant attention…
Language AIGrouped-Query Attention
Grouped-Query Attention (GQA) is a way to shrink the memory needed during text generation by letting several query heads share the same key and value heads.
Language AIRotary Position Embeddings
Rotary Position Embeddings (RoPE) encode where each token sits in a sequence by rotating its query and key vectors by an angle proportional to position.
CompaniesHume AI
Hume AI is a research lab and startup building 'emotionally intelligent' voice AI that reads the tone, rhythm, and prosody of human speech, not just…
CompaniesOpenAI Sora
Sora is OpenAI's text-to-video model that generates realistic, minute-long video clips from written prompts.
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