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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Technical
Knowledge Distillation
Knowledge distillation trains a small 'student' model to imitate a large, accurate 'teacher' model.
TechnicalMixture of Experts
Mixture of Experts (MoE) is a model design that splits a network into many specialized sub-networks and activates only a few per input.
TechnicalModel Quantization
Model quantization shrinks a neural network by storing its numbers in fewer bits, so the same model runs faster and on smaller hardware.
TechnicalFederated Learning
Federated learning trains a shared model across many devices or organizations without collecting their raw data in one place.
TechnicalFP8 and Low-Precision Formats
FP8 is an 8-bit floating-point number format that lets AI models store weights and run math using a quarter of the memory of standard 32-bit numbers.
TechnicalPagedAttention and vLLM
PagedAttention is a memory-management technique that stores a language model's attention cache in small reusable blocks instead of one big contiguous chunk.
TechnicalContinuous Batching
Continuous batching is a serving technique that adds and removes requests from a running batch token-by-token, instead of waiting for a whole fixed batch…
TechnicalDifferential Privacy
Differential privacy is a mathematical guarantee that analyzing a dataset reveals useful patterns while hiding whether any single person's data was included.
TechnicalKubernetes for ML Workloads
Kubernetes is an open-source system that automatically schedules, scales, and restarts containerized programs across a cluster of machines.
TechnicalFeature Stores
A feature store is a central system that computes, stores, and serves the input variables (features) that machine learning models consume.
TechnicalModel Registries
A model registry is a version-controlled catalog for trained machine learning models, tracking each version's lineage, metrics, and deployment stage.
TechnicalAI in Cybersecurity Operations
AI helps security teams sift through billions of events to spot attacks humans would miss, and increasingly responds automatically.
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