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Huawei H13-311_V4.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| AI Overview | 10% | - Huawei full-stack all-scenario AI strategy - Development stages and typical applications - Definition and history of AI |
| Machine Learning Overview | 20% | - Common algorithms and model evaluation methods - Basic concepts and classification - Supervised learning, unsupervised learning, reinforcement learning |
| Cutting-edge AI Applications | 5% | - AI in industry, healthcare, transportation, etc. - Latest trends and development directions |
| AI Business Process Overview | 15% | - Data preparation and processing - Model deployment and maintenance - AI project lifecycle and requirements analysis |
| AI Development Framework | 20% | - MindSpore framework overview and features - Model building, training, and deployment - Ascend AI processor and software ecosystem |
| Basics of Deep Learning and Foundation Models | 30% | - Neural network basics - Deep learning training and optimization - Convolutional neural networks, recurrent neural networks - Introduction to foundation models and large models |
