01
AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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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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Technical
Feature Engineering Pipelines and Data Versioning
Feature engineering pipelines transform raw data into the numerical signals models actually learn from, while data versioning tracks exactly which data…
TechnicalOnline and Offline Feature Serving Skew
Training/serving skew happens when the features a model learns from offline differ from the features it actually receives in production, quietly wrecking…
Audio AIVITS End-to-End Speech Synthesis
VITS is a text-to-speech model that turns text directly into raw audio waveforms in a single trained system, skipping the usual two-stage pipeline.
Audio AIFastSpeech and Non-Autoregressive TTS
FastSpeech generates an entire speech spectrogram in parallel rather than one frame at a time, making synthesis dramatically faster and more stable.
Audio AINaturalSpeech and Latent Diffusion TTS
NaturalSpeech is a line of Microsoft TTS research aiming for human-level speech quality, with later versions using latent diffusion to generate rich, natural…
Language AIOdds Ratio Preference Optimization
Odds Ratio Preference Optimization (ORPO) is a fine-tuning method that teaches a language model good behavior and human preferences in a single training pass.
Language AIKahneman-Tversky Optimization
Kahneman-Tversky Optimization (KTO) is an alignment method that learns from simple thumbs-up or thumbs-down labels instead of paired comparisons.
Language AIRejection Sampling Fine-Tuning
Rejection Sampling Fine-Tuning (RFT) generates many candidate answers, keeps only the best-scoring ones, and retrains the model on those winners.
CompaniesOpenAI o1 and o3 Reasoning Models Explained
Learn how OpenAI o1 and o3 reasoning models use test-time compute for multi-step math, science, coding, and agentic tasks.
CompaniesAlphaFold
AlphaFold is a Google DeepMind AI that predicts the 3D shape of proteins from their amino-acid sequence, a 50-year grand challenge in biology.
CompaniesAlphaGo and AlphaZero
AlphaGo was the DeepMind program that beat the world's best Go players, a milestone long thought decades away.
CompaniesKimi and Moonshot AI
Moonshot AI is a Beijing startup founded in 2023 whose Kimi chatbot became famous for handling extremely long documents.
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