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Canonical Resource Catalog

This page is generated from data/sources.yaml, data/curriculum.yaml, and data/paid-resources.yaml. Free access does not imply permission to mirror, translate, download, or commercially reuse a source.

Curriculum map

ModuleMap of ContentSeed resourcesCapstone
1Mathematical and Machine-Learning Foundations4Implement and diagnose a small classifier without a high-level training framework.
2Neural Networks, Optimization, and Deep-Learning Practice4Train an image or text classifier and explain every major optimization decision.
3Attention, Tokenization, and Transformers4Implement a tiny decoder-only Transformer and analyze its attention maps.
4LLM Data, Pretraining, Post-Training, and Alignment4Specify a small language-model training run with data governance and evaluation gates.
5Inference, KV Cache, Quantization, and Serving4Benchmark a serving configuration and justify throughput-latency trade-offs.
6HIP, Kernels, and ML Compilers5Optimize one tensor kernel and report correctness and performance evidence.
7Distributed Training, Collectives, Networking, and Reliability4Design a distributed training topology and estimate its communication bottleneck.
8Evaluation, Benchmarking, Safety, and Production Quality4Create a compact evaluation suite and publish a reproducible model comparison.

Free and freemium sources

ResourceProviderAuthorityLanguageModalitiesRightsVerified
Apache TVM DocumentationApache Software FoundationAendocumentation, tutorial, codeopen-license2026-09-03
CUDA C++ Programming GuideNVIDIAAendocumentation, reference, codelink-only2026-09-03
Deep Learning SystemsDeep Learning Systems courseAencourse, slides, video, lab, codelink-only2026-09-03
Dive into Deep LearningD2L.aiAenbook, course, lab, codeopen-license2026-09-03
Full Stack Deep LearningFull Stack Deep LearningBencourse, video, slides, lablink-only2026-09-03
Full Stack Deep Learning YouTubeFull Stack Deep LearningBenvideolink-only2026-09-03
HIP DocumentationAMDAendocumentation, reference, codeopen-license2026-09-03
Holistic Evaluation of Language ModelsStanford Center for Research on Foundation ModelsAendocumentation, benchmark, code, paperlink-only2026-09-03
Hugging Face LLM CourseHugging FaceAencourse, documentation, lab, codelink-only2026-09-03
Language Model Evaluation HarnessEleutherAIAendocumentation, benchmark, codeopen-license2026-09-03
Latent Space — The AI Engineer PodcastLatent SpaceCenpodcast, interview, show-noteslink-only2026-09-03
MIT Introduction to Deep LearningMITAencourse, video, lab, codelink-only2026-09-03
MIT OpenCourseWare 6.036 Introduction to Machine LearningMIT OpenCourseWareAencourse, video, notes, exercisesopen-license2026-09-03
Neural Networks — Zero to HeroAndrej KarpathyBenvideo, course, codelink-only2026-09-03
NVIDIA Collective Communications Library DocumentationNVIDIAAendocumentation, referencelink-only2026-09-03
NVIDIA Developer YouTubeNVIDIAAenvideolink-only2026-09-03
NVIDIA Triton Inference Server DocumentationNVIDIAAendocumentation, tutorial, codelink-only2026-09-03
Practical AIChangelog MediaCenpodcast, interview, show-noteslink-only2026-09-03
PyTorch Distributed OverviewPyTorch FoundationAendocumentation, tutorial, codeopen-license2026-09-03
PyTorch TutorialsPyTorch FoundationAendocumentation, tutorial, lab, codeopen-license2026-09-03
Stanford CS336 — Language Modeling from ScratchStanford UniversityAencourse, notes, assignments, codelink-only2026-09-03
Triton Language TutorialsTriton projectAendocumentation, tutorial, lab, codeopen-license2026-09-03
vLLM DocumentationvLLM projectAendocumentation, tutorial, codeopen-license2026-09-03
跟李沐学AIBilibiliBzh-Hansvideolink-only2026-09-03

AI Learning Atlas currently has no affiliate, sponsor, or commercial relationships with listed providers.

ResourceProviderPrice modelFree alternativesAffiliateSponsoredRelationship
Deep Learning SpecializationDeepLearning.AI on Courserasubscriptionmit-intro-dl, d2lNoNoNo relationship; independently selected.
Designing Machine Learning SystemsO’Reilly Mediabook-or-subscriptionfsdl, dlsyscourseNoNoNo relationship; independently selected.
LLM Engineer’s HandbookPackt Publishingbookhf-llm-course, fsdl, vllm-docsNoNoNo relationship; independently selected.
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