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
| Module | Map of Content | Seed resources | Capstone |
|---|---|---|---|
| 1 | Mathematical and Machine-Learning Foundations | 4 | Implement and diagnose a small classifier without a high-level training framework. |
| 2 | Neural Networks, Optimization, and Deep-Learning Practice | 4 | Train an image or text classifier and explain every major optimization decision. |
| 3 | Attention, Tokenization, and Transformers | 4 | Implement a tiny decoder-only Transformer and analyze its attention maps. |
| 4 | LLM Data, Pretraining, Post-Training, and Alignment | 4 | Specify a small language-model training run with data governance and evaluation gates. |
| 5 | Inference, KV Cache, Quantization, and Serving | 4 | Benchmark a serving configuration and justify throughput-latency trade-offs. |
| 6 | HIP, Kernels, and ML Compilers | 5 | Optimize one tensor kernel and report correctness and performance evidence. |
| 7 | Distributed Training, Collectives, Networking, and Reliability | 4 | Design a distributed training topology and estimate its communication bottleneck. |
| 8 | Evaluation, Benchmarking, Safety, and Production Quality | 4 | Create a compact evaluation suite and publish a reproducible model comparison. |
Free and freemium sources
| Resource | Provider | Authority | Language | Modalities | Rights | Verified |
|---|---|---|---|---|---|---|
| Apache TVM Documentation | Apache Software Foundation | A | en | documentation, tutorial, code | open-license | 2026-09-03 |
| CUDA C++ Programming Guide | NVIDIA | A | en | documentation, reference, code | link-only | 2026-09-03 |
| Deep Learning Systems | Deep Learning Systems course | A | en | course, slides, video, lab, code | link-only | 2026-09-03 |
| Dive into Deep Learning | D2L.ai | A | en | book, course, lab, code | open-license | 2026-09-03 |
| Full Stack Deep Learning | Full Stack Deep Learning | B | en | course, video, slides, lab | link-only | 2026-09-03 |
| Full Stack Deep Learning YouTube | Full Stack Deep Learning | B | en | video | link-only | 2026-09-03 |
| HIP Documentation | AMD | A | en | documentation, reference, code | open-license | 2026-09-03 |
| Holistic Evaluation of Language Models | Stanford Center for Research on Foundation Models | A | en | documentation, benchmark, code, paper | link-only | 2026-09-03 |
| Hugging Face LLM Course | Hugging Face | A | en | course, documentation, lab, code | link-only | 2026-09-03 |
| Language Model Evaluation Harness | EleutherAI | A | en | documentation, benchmark, code | open-license | 2026-09-03 |
| Latent Space — The AI Engineer Podcast | Latent Space | C | en | podcast, interview, show-notes | link-only | 2026-09-03 |
| MIT Introduction to Deep Learning | MIT | A | en | course, video, lab, code | link-only | 2026-09-03 |
| MIT OpenCourseWare 6.036 Introduction to Machine Learning | MIT OpenCourseWare | A | en | course, video, notes, exercises | open-license | 2026-09-03 |
| Neural Networks — Zero to Hero | Andrej Karpathy | B | en | video, course, code | link-only | 2026-09-03 |
| NVIDIA Collective Communications Library Documentation | NVIDIA | A | en | documentation, reference | link-only | 2026-09-03 |
| NVIDIA Developer YouTube | NVIDIA | A | en | video | link-only | 2026-09-03 |
| NVIDIA Triton Inference Server Documentation | NVIDIA | A | en | documentation, tutorial, code | link-only | 2026-09-03 |
| Practical AI | Changelog Media | C | en | podcast, interview, show-notes | link-only | 2026-09-03 |
| PyTorch Distributed Overview | PyTorch Foundation | A | en | documentation, tutorial, code | open-license | 2026-09-03 |
| PyTorch Tutorials | PyTorch Foundation | A | en | documentation, tutorial, lab, code | open-license | 2026-09-03 |
| Stanford CS336 — Language Modeling from Scratch | Stanford University | A | en | course, notes, assignments, code | link-only | 2026-09-03 |
| Triton Language Tutorials | Triton project | A | en | documentation, tutorial, lab, code | open-license | 2026-09-03 |
| vLLM Documentation | vLLM project | A | en | documentation, tutorial, code | open-license | 2026-09-03 |
| 跟李沐学AI | Bilibili | B | zh-Hans | video | link-only | 2026-09-03 |
Paid Resources / 付费资料推荐
AI Learning Atlas currently has no affiliate, sponsor, or commercial relationships with listed providers.
| Resource | Provider | Price model | Free alternatives | Affiliate | Sponsored | Relationship |
|---|---|---|---|---|---|---|
| Deep Learning Specialization | DeepLearning.AI on Coursera | subscription | MIT Introduction to Deep Learning, Dive into Deep Learning | No | No | No relationship; independently selected. |
| Designing Machine Learning Systems | O’Reilly Media | book-or-subscription | Full Stack Deep Learning, Deep Learning Systems | No | No | No relationship; independently selected. |
| LLM Engineer’s Handbook | Packt Publishing | book | Hugging Face LLM Course, Full Stack Deep Learning, vLLM Documentation | No | No | No relationship; independently selected. |