Aegis-GPUNCA-GENL learning guides
One short guide per official objective, grouped by exam domain. Each point is backed by a quote from an NVIDIA source. Terms link to the glossary the first time they appear.
Core Machine Learning and AI Knowledge
- 1.1 Serving LLMs at scale
- 1.2 Finding insights in large datasets
- 1.3 Building LLM applications: RAG, chatbots, summarizers
- 1.4 Preparing content for RAG
- 1.5 Machine-learning fundamentals
- 1.6 Python NLP and vector tools
- 1.7 Reading research and spotting trends
- 1.8 Text embeddings
- 1.9 Prompt engineering
- 1.10 Traditional ML with Python packages