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
Multi-Agent Reinforcement Learning
Multi-Agent Reinforcement Learning (MARL) trains several learning agents that share an environment, each adapting its behavior while the others adapt too.
Language AIBeam Search
Beam search is a decoding strategy that keeps the several most promising partial sequences at each step instead of greedily committing to one.
Language AINucleus and Top-k Sampling
Nucleus (top-p) and top-k sampling are decoding methods that add controlled randomness to text generation by restricting which tokens can be chosen.
Visual AIAutoregressive Image Generation
Autoregressive image generation builds pictures one piece at a time, predicting each token from everything generated before it.
Visual AIVQ-VAE and Discrete Latents
VQ-VAE compresses images, audio, or video into a small grid of discrete codes drawn from a learned codebook, instead of continuous numbers.
Visual AISegment Anything Model
The Segment Anything Model (SAM) is Meta AI's foundation model for image segmentation: given a point, box, or rough hint, it instantly outlines…
CompaniesStability AI
Stability AI is the London-based startup behind Stable Diffusion, the open-weight image generator that put text-to-image AI on millions of laptops.
CompaniesRunway
Runway is an applied AI research company building generative video tools that turn text and images into moving footage.
CompaniesPerplexity AI
Perplexity AI is an 'answer engine' that combines large language models with live web search to deliver direct, cited answers instead of a list of blue links.
Visual AITextual Inversion
Textual Inversion teaches an image generator a brand-new concept—like a specific cat, art style, or product—by learning a single fresh word for it, without…
Visual AIDreamBooth
DreamBooth fine-tunes an entire image model on a handful of photos so it deeply 'remembers' a specific subject—your face, pet, or product—and can place it…
Visual AIInpainting and Outpainting
Inpainting fills in or replaces a masked region inside an image, while outpainting extends an image beyond its original borders.
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