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