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HP HPE0-V30 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Infrastructure and NVIDIA Technologies | 12% | - Software stack and optimization basics - GPU acceleration and computing concepts - NVIDIA AI platform and hardware overview |
| Topic 2: Generative AI Concepts and Applications | 44% | - Prompt engineering and best practices - NLP and computer vision applications - Large Language Models (LLMs): concepts and capabilities - Transformer architecture and attention mechanisms - Introduction to Generative AI and industry use cases - Vector databases and embedding fundamentals |
| Topic 3: Advanced AI Techniques and Implementation | 44% | - Retrieval-Augmented Generation (RAG) - Data preparation: cleaning, labeling, and preprocessing - Multimodal foundation models - Frameworks: LangChain and LlamaIndex - AI agents: design, components, and use cases |
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