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Huawei H13-311_V4.0

H13-311_V4.0

Exam Code: H13-311_V4.0

Exam Name: HCIA-AI V4.0

Updated: Jul 25, 2026

Q&A Number: 0 Q&As

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H13-311_V4.0 Online Test Engine

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Huawei H13-311_V4.0 Exam Syllabus Topics:

SectionObjectives
AI Application and Deployment- Model deployment
  • 1. Model optimization and compression
    • 2. Edge and cloud deployment scenarios
      - Data processing
      • 1. Data preprocessing techniques
        • 2. Feature engineering basics
          Machine Learning Fundamentals- Supervised and unsupervised learning
          • 1. Regression and classification
            • 2. Clustering methods overview
              - Model evaluation
              • 1. Overfitting and underfitting
                • 2. Accuracy, precision, recall, F1-score
                  Artificial Intelligence Fundamentals- AI concepts and history
                  • 1. AI development trends and applications
                    • 2. Definition of AI, ML, DL
                      - Mathematics for AI
                      • 1. Probability and statistics basics
                        • 2. Basic linear algebra concepts
                          Deep Learning Fundamentals- Training techniques
                          • 1. Backpropagation
                            • 2. Optimization methods (SGD, Adam)
                              - Neural networks
                              • 1. Activation functions
                                • 2. Perceptron and multilayer perceptron
                                  Huawei AI Platform and Tools- Ascend computing architecture
                                  • 1. Ascend AI processors overview
                                    • 2. CANN architecture basics
                                      - MindSpore framework
                                      • 1. Training and inference pipeline
                                        • 2. Model development workflow

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