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HP HPE3-CL11 Exam Syllabus Topics:

SectionObjectives
HPE and NVIDIA AI Infrastructure Solutions- HPE AI and GPU-accelerated computing platforms
  • 1. NVIDIA GPU ecosystem overview
    • 2. HPE server and compute architectures for AI workloads
      AI Solution Security, Scalability, and Operations- Operational best practices for AI systems
      • 1. Scalability and performance optimization
        • 2. Security and governance in AI workloads
          Introduction to Artificial Intelligence and Machine Learning- Core AI/ML concepts and terminology
          • 1. Model training and evaluation basics
            • 2. Supervised, unsupervised, and reinforcement learning
              Model Training, Optimization, and Deployment- AI model lifecycle on GPU infrastructure
              • 1. Training acceleration using GPUs
                • 2. Model deployment and inference considerations
                  Data Pipeline and AI Workflows- Data preparation and processing for AI workloads
                  • 1. Feature engineering fundamentals
                    • 2. Data ingestion and storage considerations

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