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

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