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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Fundamentals
Semi-Supervised Learning
Semi-supervised learning trains on a small amount of labeled data plus a large pool of unlabeled data.
Language AISliding Window Attention
Sliding window attention restricts each token to attend only to a fixed-size neighborhood of nearby tokens instead of the entire sequence.
Language AIByte-Pair Encoding
Byte-Pair Encoding (BPE) is a compression-inspired algorithm that builds a vocabulary by repeatedly merging the most frequent pair of symbols.
Language AISubword Tokenization
Subword tokenization splits text into units smaller than words but larger than characters, like 'token' plus 'ization'.
Audio AIDiffusion Models for Audio
Diffusion models generate audio by learning to reverse a step-by-step noising process, turning random noise into coherent speech, music, or sound effects.
Audio AISound Event Detection
Sound event detection (SED) identifies what sounds occur in an audio stream and exactly when they start and stop.
Audio AIAudio Captioning
Audio captioning generates a natural-language sentence describing the content of an audio clip, such as 'a train horn blares as it passes a level crossing.
Audio AIWhisper Speech Recognition
Whisper is OpenAI's open-source automatic speech recognition system that turns audio into text across 90+ languages.
Audio AIWav2Vec 2.0
Wav2Vec 2.0 is Meta AI's self-supervised speech model that learns powerful audio representations from raw, unlabeled recordings.
Audio AIHuBERT Self-Supervised Speech
HuBERT (Hidden-Unit BERT) is Meta AI's self-supervised speech model that learns by predicting clustered audio units for masked segments, BERT-style.
CompaniesAlibaba Qwen
Qwen (Tongyi Qianwen) is Alibaba's family of large language models, and it has become one of the world's most downloaded open-weight AI model families.
CompaniesTesla AI and Autopilot
Tesla AI powers Autopilot and Full Self-Driving (FSD), the company's driver-assistance systems that use cameras and neural networks to perceive the road…
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