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