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Last Updated: Sep 22, 2026

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Huawei H13-311-ENU Exam Syllabus Topics:

SectionWeightObjectives
Mathematics and Python Basics15%- Linear algebra, probability, statistics, calculus fundamentals
- Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib
Huawei AI Solutions & Applications5%- Full-stack all-scenario AI strategy
- Edge/cloud AI deployment scenarios
- Ascend chips, Atlas hardware, CANN
AI Development Frameworks20%- Huawei Cloud ModelArts, Ascend AI ecosystem
- TensorFlow/PyTorch basics
- MindSpore framework fundamentals and operations
Machine Learning Overview20%- Common algorithms: regression, decision tree, SVM, clustering
- Supervised, unsupervised, reinforcement learning
- Model training, evaluation, overfitting, underfitting
AI Overview15%- Main technical branches: ML, DL, computer vision, NLP
- Definition, history and development trends of AI
- Typical industry applications and AI ethics
Deep Learning Overview25%- Activation, loss functions, optimizers
- CNN, RNN/LSTM, Transformer basics
- Neural network structure and backpropagation

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