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AI Foundations
Understand what AI is, how systems learn, where they fail, and how to judge claims without hype.
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Responsible AI User
Use AI productively while protecting privacy, checking outputs, and preserving human accountability.
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AI at Work
Evaluate workplace use cases, run safe pilots, measure value, and communicate changes responsibly.
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AI Policy & Society
Analyze AI systems through rights, equity, governance, safety, and public-interest outcomes.
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Building with AI Systems
Understand language models, retrieval, agents, evaluation, cost, and deployment safeguards through practical system design.
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Technical
TensorRT and Inference Engines
TensorRT is NVIDIA's library that compiles trained neural networks into highly optimized engines that run far faster on NVIDIA GPUs.
TechnicalTriton Inference Server
Triton Inference Server is NVIDIA's open-source platform for deploying and serving AI models in production at scale.
TechnicalRay for Distributed AI
Ray is an open-source framework that makes it easy to scale Python and AI workloads from a laptop to a cluster of thousands of machines.
TechnicalFully Sharded Data Parallel
Fully Sharded Data Parallel (FSDP) is a distributed training technique that splits a model's parameters, gradients, and optimizer states across many GPUs so…
TechnicalGradient Checkpointing
Gradient checkpointing (also called activation checkpointing) is a memory-saving trick that throws away most intermediate activations during the forward pass…
TechnicalONNX and Model Interoperability
ONNX (Open Neural Network Exchange) is an open standard format for representing machine learning models so they can move freely between frameworks…
TechnicalTensor Cores
Tensor Cores are specialized hardware units inside modern NVIDIA GPUs that perform matrix multiply-and-accumulate operations extremely fast.
TechnicalHigh Bandwidth Memory
High Bandwidth Memory (HBM) is stacked memory placed right next to the GPU that delivers data far faster than ordinary RAM.
TechnicalNVLink and GPU Interconnects
NVLink and related interconnects are the high-speed links that let many GPUs talk to each other directly and quickly.
TechnicalModel Merging
Model merging combines the weights of two or more trained neural networks into a single model — without any retraining or access to the original training…
TechnicalMixtral and Sparse Models
Mixtral is Mistral AI's open mixture-of-experts model that delivers big-model quality at small-model speed.
TechnicalGPU vs TPU for AI
GPUs and TPUs are the two dominant chip types for training and running AI.
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