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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Language AI
Lemmatization and Stemming
Stemming and lemmatization both reduce words to a base form so that 'running', 'ran', and 'runs' can be treated as one concept.
Language AITF-IDF and Bag-of-Words Models
Bag-of-words turns text into word counts ignoring order, and TF-IDF weights those counts so rare, distinctive words matter more than common ones.
Visual AIVision-Language-Action Models for Robotics
Vision-Language-Action (VLA) models are large neural networks that take in camera images plus a written instruction and directly output robot motor commands.
Visual AIDiffusion Policy for Robot Control
Diffusion Policy applies the same denoising idea behind image generators like Stable Diffusion to robot control: instead of predicting a single next action…
FundamentalsWorld Models and Learned Simulators
A world model is a neural network that learns to predict how an environment changes over time, letting an AI 'imagine' future outcomes before acting.
Language AICross-Encoders vs Bi-Encoders
Two ways neural models compare text: bi-encoders embed each piece separately for fast search, while cross-encoders read both texts together for higher…
Language AIAbstractive vs Extractive Summarization
Two strategies for shrinking text: extractive summarization copies the most important sentences verbatim, while abstractive summarization writes new…
TechnicalROUGE and BLEU Evaluation Metrics
ROUGE and BLEU are the workhorse automatic metrics for comparing machine-generated text against human references.
Visual AIMake-A-Video Text-to-Video
Make-A-Video is Meta's 2022 system that turns a text prompt into a short video clip without ever training on labeled text-video pairs.
Visual AIImagen Video Cascades
Imagen Video is Google's 2022 text-to-video system that builds a clip through a cascade of seven diffusion models, each adding more frames or more resolution.
Visual AICogVideo and CogVideoX
CogVideo (2022) was the first large-scale open text-to-video model, and CogVideoX (2024) is its far more capable open-source successor from Tsinghua/Zhipu AI.
ApplicationsAI in Music Mastering and Mixing
AI mastering and mixing tools analyze a track's frequency balance, loudness, and dynamics, then automatically apply EQ, compression, and limiting to make it…
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