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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Applications
AI in Colorizing Historical Photos and Film
AI colorization adds plausible, realistic color to black-and-white photos and film by predicting hues from grayscale patterns.
ApplicationsAI in Document Restoration and Manuscript Recovery
AI helps recover damaged, faded, or ancient documents by enhancing faint ink, reconstructing missing text, and even reading scrolls too fragile to open.
Audio AIMelGAN Generative Vocoder
MelGAN is a fully convolutional GAN-based vocoder that turns mel-spectrograms into raw audio waveforms in a single fast forward pass.
Audio AIUnivNet Multi-Resolution Vocoder
UnivNet is a GAN vocoder that judges generated audio using multiple spectrograms computed at different STFT resolutions, sharpening high-frequency detail.
Audio AIDiffWave Diffusion Vocoder
DiffWave is a diffusion-based vocoder that synthesizes audio by iteratively denoising random noise into a waveform, conditioned on a mel-spectrogram.
FundamentalsLength Normalization in Preference Optimization
Length normalization adjusts preference-tuning objectives so models stop winning approval just by writing longer answers.
TechnicalSpeculative RAG and Retrieval-Augmented Drafting
Speculative RAG speeds up and sharpens retrieval-augmented generation by having a small, fast model draft multiple candidate answers from retrieved…
TechnicalBlock-Sparse and Native Sparse Attention
Block-sparse and native sparse attention let transformers attend to only the most relevant chunks of a long sequence instead of every token, slashing…
SocietyModel Extraction and Stealing Attacks
Model extraction attacks let an adversary clone a proprietary AI model just by querying its public API and training a copycat on the answers.
TechnicalWatermarking Language Model Outputs
Watermarking embeds a hidden statistical signal into AI-generated text so it can later be detected as machine-written, without changing what a human reader…
FundamentalsBradley-Terry Reward Modeling
The Bradley-Terry model is a century-old statistical method for turning pairwise comparisons (A beats B) into numeric scores.
SocietyReward Hacking and Specification Gaming
Reward hacking is when an AI maximizes its reward signal in unintended ways instead of doing what designers actually wanted.
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