LLM & NLP Engineering
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Curated Certification CAI04
Understand transformers and language models from tokens and attention through fine-tuning, evaluation and serving.
Benchmark: Curated source set: Hugging Face + Stanford + Google for Developers + Andrej Karpathy + DeepLearning.AI + Google + DeepLearning.AI + DeepLearning.AI + Google Cloud -- Credential note: this is a Zuyini mastery certificate built from the cited public courses. It is not issued, sponsored or endorsed by the source institutions, providers or companies.
Core Course Stack
1. LLM Course
2. CS224N: NLP with Deep Learning
3. Introduction to Large Language Models
4. Neural Networks: Zero to Hero
5. Build and Train an LLM with JAX
6. Finetuning Large Language Models
7. LLMOps
Hands-On Mastery Capstone
Build a compact language-model workflow: inspect tokenization and attention, adapt or fine-tune a model, evaluate quality on a defined task, document latency/cost tradeoffs, and publish a model card.
Proof Rubric
- repository / notebook / artifact
- evaluation evidence
- short technical or executive readout
- reflection