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HP HPE0-V30 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Data Preparation & Processing | - Data cleaning and labeling - Feature representation and embeddings |
| Topic 2: Prompt Engineering | - Zero-shot and few-shot prompting - Chain-of-thought prompting techniques |
| Topic 3: Transformer Architecture & Attention Mechanisms | - Transformer vs legacy sequence models - Self-attention mechanism |
| Topic 4: Large Language Models (LLMs) | - LLM capabilities and limitations - Text generation and reasoning tasks |
| Topic 5: Generative AI & Industry Applications | - GenAI use cases in enterprise environments - Chatbots, summarization, and content generation |
| Topic 6: Retrieval-Augmented Generation (RAG) | - Combining retrieval and generation - Vector databases and similarity search |
| Topic 7: NVIDIA AI & Compute Concepts | - AI workload optimization basics - GPU acceleration fundamentals (CUDA) |
| Topic 8: AI Agents & Automation | - Agent-based workflows - Autonomous task execution using tools |
