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Huawei H35-323 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: AI Fundamentals and Machine Learning Basics | - Model evaluation and metrics - Basic neural network concepts - Supervised and unsupervised learning |
| Topic 2: AI Development Frameworks and Tools | - MindSpore framework basics - Data preprocessing and pipelines - ModelArts platform usage |
| Topic 3: Deployment and MLOps Concepts | - Model deployment lifecycle - Edge and cloud deployment scenarios - Continuous training and monitoring |
| Topic 4: Deep Learning and Neural Networks | - Training and optimization methods - CNN and RNN fundamentals - Overfitting and regularization |
| Topic 5: AI Network and Intelligent Applications | - Intelligent fault detection - AI in network optimization scenarios - Traffic prediction and anomaly detection |
