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HP HPE0-V30 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Advanced AI Techniques and Implementation | 44% | - Multimodal foundation models - Retrieval-Augmented Generation (RAG) - AI agents: design, components, and use cases - Data preparation: cleaning, labeling, and preprocessing - Frameworks: LangChain and LlamaIndex |
| Generative AI Concepts and Applications | 44% | - Transformer architecture and attention mechanisms - NLP and computer vision applications - Large Language Models (LLMs): concepts and capabilities - Introduction to Generative AI and industry use cases - Prompt engineering and best practices - Vector databases and embedding fundamentals |
| AI Infrastructure and NVIDIA Technologies | 12% | - GPU acceleration and computing concepts - NVIDIA AI platform and hardware overview - Software stack and optimization basics |
