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Huawei H13-311_V2.0 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mathematics for Artificial Intelligence | 15% | - Linear algebra basics - Calculus and optimization fundamentals - Probability and statistics |
| Topic 2: TensorFlow Overview & Basics | 15% | - Basic programming with TensorFlow - TensorFlow architecture and features - TensorFlow practical experiments |
| Topic 3: Artificial Intelligence Overview | 15% | - Technical and application fields of AI - Definition and history of AI - Huawei AI strategy and development |
| Topic 4: Python Programming Basics | 20% | - Python syntax and data structures - Functions, modules, and file operations - Python programming practice |
| Topic 5: Huawei EI and HiAI Overview | 10% | - Basic concepts of Huawei Cloud EI - HiAI platform and ecosystem |
| Topic 6: AI Application Development | 10% | - Basic speech recognition - Simple machine translation - Basic image recognition |
| Topic 7: Deep Learning Preparations & Overview | 15% | - Neural network fundamentals - CNN, RNN basic principles - Activation functions, loss functions, optimizers |
