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