Huawei H13-311-ENU Exam Questions : HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)

  • Exam Code: H13-311-ENU
  • Exam Name: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
  • Updated: Aug 01, 2026
  • Q&As: 175 Questions and Answers

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Who should take the Huawei Certified ICT Associate-Artificial Intelligence

Engineers who need to master AI technologies, learn and use deep learning algorithms, and master Huawei AI-related product technologies.

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  • Human-Machine Relationship in the Era of AI
  • Artificial intelligence Governance
  • Key Planning of AI in the World
  • Advancement of AI Industries
  • The Past, Present, and Future of AI
  • Artificial intelligence Society in the Future

Understanding functional and technical aspects of Essential mathematics knowledge and pre-knowledge for Deep Learning

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  • Imperative Optimization
  • Uncommon Matrices
  • Data Theory
  • Particular Value Decomposition
  • Determinants
  • Model: Linear Least Squares
  • Linear Algebra
  • Sick Condition
  • Eigendecomposition
  • Ceaseless Variable
  • Bayesian Rules
  • Irregular Variables
  • Restrictive Probability
  • Inclination Based Optimization Method
  • Freedom and Conditional Independence
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  • Likelihood Distribution
  • Moore-Penrose Pseudoinverse
  • Flood and Underflow
  • Follow Operator
  • Numeric Calculation
  • Minor Probability
  • Model: Principal Component Analysis
  • Assumption, Variance, and Covariance

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Huawei H13-311-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deep Learning Overview25%- Neural network fundamentals
- Training mechanisms and optimization
- CNN, RNN and basic architectures
Topic 2: Huawei AI Platform & Applications8%- Ascend computing platform and Atlas series
- Huawei Cloud EI and ModelArts
- Typical AI application scenarios
Topic 3: Mathematics and Python Basics20%- Python programming fundamentals
- Linear algebra, probability and statistics
- Data processing and visualization
Topic 4: Artificial Intelligence Overview15%- History and development of AI
- AI technology and application fields
- Huawei AI strategy and full-stack architecture
Topic 5: AI Development Frameworks12%- Huawei MindSpore framework introduction
- TensorFlow basics and usage
Topic 6: Machine Learning Overview20%- Model training and evaluation
- Basic concepts and classification
- Common algorithms and models

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