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
Point Cloud Processing
A point cloud is a set of 3D points (X, Y, Z) that captures the shape of real objects and spaces, often from LiDAR or depth sensors.
Visual AISigned Distance Functions
A signed distance function (SDF) describes a 3D shape by telling you, for any point in space, how far it is to the nearest surface, with a sign that says…
TechnicalAutoencoders
An autoencoder is a neural network that learns to compress data into a compact code and then reconstruct it, forcing the network to capture only the most…
TechnicalSiamese Networks and Triplet Loss
Siamese networks use two or more identical, weight-sharing branches to learn how similar two inputs are, rather than classifying each one.
TechnicalMulti-Task Learning
Multi-task learning trains one model to perform several related tasks at once, sharing internal representations across them.
Audio AIMusic Information Retrieval
Music Information Retrieval (MIR) is the field that teaches computers to analyze, understand, and search music from audio signals and scores.
Audio AIDemucs and HT-Demucs Music Source Separation
Learn how Demucs and HT-Demucs separate music into vocals and instrument stems using waveform, spectrogram, and transformer modeling.
Audio AIAudio Chord Recognition
Audio chord recognition is the task of automatically labeling the chords played throughout a song directly from its audio.
CompaniesWeights & Biases
Weights & Biases is a developer platform for tracking, visualizing, and reproducing machine learning experiments.
CompaniesLangChain
LangChain is an open-source framework (and company) for building applications powered by large language models.
CompaniesLlamaIndex
LlamaIndex is an open-source data framework that connects large language models to your private and external data.
TechnicalConformal Prediction
Conformal prediction wraps any model to output a set or interval that is guaranteed to contain the true answer with a chosen probability, like 90%.
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