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 Recommendation Systems
Recommendation systems are the AI engines that decide what you see next: the movie Netflix surfaces, the product Amazon suggests, the next video on YouTube.
ApplicationsAI Fraud Detection
AI fraud detection uses machine learning to spot suspicious transactions, accounts, and behaviors in real time, before money disappears.
ApplicationsAI Anomaly Detection
Anomaly detection is AI that learns what 'normal' looks like and then flags anything that doesn't fit, from a failing machine to a network intrusion.
IndustriesAI in Fraud Detection
AI in fraud detection uses machine learning to spot suspicious transactions and behavior in real time, often within milliseconds of a payment.
IndustriesAI in Algorithmic Trading
AI in algorithmic trading uses machine learning to forecast price moves, optimize order execution, and manage risk across markets at speeds no human can…
IndustriesAI in Credit Underwriting
AI in credit underwriting uses machine learning to decide who gets a loan, at what interest rate, and for how much, often faster and using more data…
Visual AIText-to-3D Generation
Text-to-3D generation turns a written prompt like 'a vintage leather armchair' into a full 3D model you can rotate, light, and drop into a game or scene.
Visual AIDifferentiable Rendering
Differentiable rendering makes the process of turning a 3D scene into a 2D image fully differentiable, so you can compute gradients from the rendered pixels…
Visual AIU-Net Architecture
U-Net is a convolutional neural network shaped like a 'U' that excels at producing pixel-precise outputs, originally for biomedical image segmentation.
Audio AIKeyword Spotting and Wake Words
Keyword spotting is the always-listening technology that lets a device wait for a single trigger phrase like 'Hey Siri' or 'Alexa' before springing…
Audio AIForced Alignment
Forced alignment automatically lines up a known transcript with its audio, marking exactly when each word or sound starts and ends.
Audio AIMel Spectrograms
A mel spectrogram is a picture of sound over time, with frequency spaced the way human ears perceive pitch.
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