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