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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Industries
AI in Public Health and Epidemiology
AI helps public-health agencies spot outbreaks earlier, model how diseases spread, and target interventions across whole populations rather than single…
IndustriesAI in Clinical Trials
AI is reshaping how new drugs are tested — finding eligible patients faster, predicting which trials will succeed, and catching safety signals sooner.
Language AIQLoRA and 4-Bit Fine-Tuning
QLoRA is a technique that lets you fine-tune a massive language model on a single consumer GPU by storing the frozen model in just 4 bits per weight.
Language AIRepetition Penalty and Decoding Controls
Decoding controls are the knobs that decide how a language model picks each next word from its probability distribution.
Visual AIDiffusion Transformers
Diffusion Transformers (DiTs) swap the convolutional U-Net at the heart of image and video generators for a Transformer backbone.
TechnicalAdam and Adaptive Optimizers
Adam is the workhorse optimizer behind most modern neural networks, automatically tuning a separate learning rate for every parameter.
TechnicalLearning Rate Scheduling
A learning rate schedule changes the step size during training instead of holding it fixed.
TechnicalLayer Normalization
Layer normalization stabilizes training by rescaling the activations within each individual example so they have zero mean and unit variance.
IndustriesAI in Nutrition and Dietetics
AI in nutrition uses food databases, image recognition, and predictive models to personalize diets, estimate intake, and support clinical decisions.
IndustriesAI in Physical Rehabilitation
AI in physical rehabilitation uses motion tracking, wearables, and adaptive software to guide exercises, measure progress, and personalize recovery.
IndustriesAI in Law Enforcement and Policing
AI in policing spans facial recognition, predictive policing, license-plate readers, and gunshot detection.
Visual AIFeature Pyramid Networks
Feature Pyramid Networks (FPN) let detectors spot objects at wildly different sizes by building a multi-scale 'pyramid' of features cheaply.
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