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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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Machine Learning Basics | - Supervised and unsupervised learning - Common algorithms overview (regression, classification, clustering) |
| Artificial Intelligence Fundamentals | - AI application scenarios and industry overview - AI concepts and development history |
| Huawei AI Development Platform and Tools | - ModelArts platform basics - MindSpore framework introduction |
| AI Application Practice | - End-to-end AI solution workflow - Basic model training and deployment concepts |
| Computer Vision and NLP Basics | - Natural language processing fundamentals - Image recognition and processing |
| Data Processing and Feature Engineering | - Feature extraction and selection - Data cleaning and preprocessing |
| Deep Learning Fundamentals | - CNN and RNN principles - Neural network basics |
