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