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Huawei H13-325_V1.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Speech Processing Lab Practices | 10% | - Speech feature extraction - Speech application deployment - Speech model training and optimization |
| Topic 2: Huawei AI Development Strategy and Portfolio | 2% | - Huawei Cloud EI services overview - Full-stack, all-scenario AI solutions |
| Topic 3: Speech Processing Theory and Applications | 10% | - Traditional speech models (GMM, HMM) - RNN, LSTM, and advanced speech models - Speech processing overview - Speech recognition and synthesis applications - Deep neural network models for speech |
| Topic 4: Integrated AI Application Development | 12% | - Application integration and optimization - ModelArts-based full lifecycle development - End-to-end AI project design |
| Topic 5: NLP Lab Practices | 10% | - Text processing and analysis - NLP application development - NLP model building and training |
| Topic 6: Image Processing Theory and Applications | 26% | - Computer vision overview - Feature extraction and traditional algorithms - Image preprocessing techniques - Image classification, detection, segmentation - Digital image processing basics - Basic image processing tasks - Convolutional Neural Networks (CNN) |
| Topic 7: Natural Language Processing Theory and Applications | 10% | - Sequence models for NLP - Text preprocessing and feature engineering - Word embedding and language models - NLP fundamentals - Text classification, sentiment analysis, NER |
| Topic 8: ModelArts AI Development Platform | 4% | - Model development, training, and deployment - ModelArts architecture and functions - Data processing and management |
| Topic 9: Neural Network Basics | 4% | - Artificial neural networks - Deep learning fundamentals - Backpropagation algorithms - Neural network architecture design - Deep feedforward networks |
| Topic 10: Image Processing Lab Practices | 12% | - End-to-end image application development - Image processing with Python and OpenCV - CNN model development on ModelArts |
