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Who should take the Huawei Certified ICT Associate-Artificial Intelligence
Engineers who need to master AI technologies, learn and use deep learning algorithms, and master Huawei AI-related product technologies.
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Understanding functional and technical aspects of Overview of artificial intelligence
The following will be discussed in HUAWEI H13-311 exam dumps:
- Advancement of AI Industries
- Human-Machine Relationship in the Era of AI
- Artificial intelligence Society in the Future
- The Past, Present, and Future of AI
- Key Planning of AI in the World
- Equity and Equity in the Era of AI
- Artificial intelligence Governance
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Mathematics and Python Basics | 15% | - Linear algebra, probability, statistics, calculus fundamentals - Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib |
| Machine Learning Overview | 20% | - Common algorithms: regression, decision tree, SVM, clustering - Model training, evaluation, overfitting, underfitting - Supervised, unsupervised, reinforcement learning |
| Deep Learning Overview | 25% | - CNN, RNN/LSTM, Transformer basics - Neural network structure and backpropagation - Activation, loss functions, optimizers |
| Huawei AI Solutions & Applications | 5% | - Edge/cloud AI deployment scenarios - Full-stack all-scenario AI strategy - Ascend chips, Atlas hardware, CANN |
| AI Overview | 15% | - Main technical branches: ML, DL, computer vision, NLP - Typical industry applications and AI ethics - Definition, history and development trends of AI |
| AI Development Frameworks | 20% | - Huawei Cloud ModelArts, Ascend AI ecosystem - MindSpore framework fundamentals and operations - TensorFlow/PyTorch basics |
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