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Last Updated: Oct 11, 2026
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mathematics and Python Basics | 20% | - Linear algebra, probability and statistics - Python programming fundamentals - Data processing and visualization |
| Topic 2: AI Development Frameworks | 12% | - TensorFlow basics and usage - Huawei MindSpore framework introduction |
| Topic 3: Huawei AI Platform & Applications | 8% | - Typical AI application scenarios - Huawei Cloud EI and ModelArts - Ascend computing platform and Atlas series |
| Topic 4: Deep Learning Overview | 25% | - CNN, RNN and basic architectures - Training mechanisms and optimization - Neural network fundamentals |
| Topic 5: Artificial Intelligence Overview | 15% | - Huawei AI strategy and full-stack architecture - History and development of AI - AI technology and application fields |
| Topic 6: Machine Learning Overview | 20% | - Common algorithms and models - Basic concepts and classification - Model training and evaluation |
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