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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Artificial Intelligence Overview | 15% | - AI technology and application fields - History and development of AI - Huawei AI strategy and full-stack architecture |
| Machine Learning Overview | 20% | - Common algorithms and models - Model training and evaluation - Basic concepts and classification |
| Mathematics and Python Basics | 20% | - Data processing and visualization - Linear algebra, probability and statistics - Python programming fundamentals |
| Huawei AI Platform & Applications | 8% | - Typical AI application scenarios - Huawei Cloud EI and ModelArts - Ascend computing platform and Atlas series |
| Deep Learning Overview | 25% | - Neural network fundamentals - CNN, RNN and basic architectures - Training mechanisms and optimization |
| AI Development Frameworks | 12% | - TensorFlow basics and usage - Huawei MindSpore framework introduction |







