How much Huawei Certified ICT Associate-Artificial Intelligence cost
Huawei Certified ICT Associate-Artificial Intelligence cost is $250 USD
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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:
- Human-Machine Relationship in the Era of AI
- Equity and Equity in the Era of AI
- The Past, Present, and Future of AI
- Key Planning of AI in the World
- Artificial intelligence Governance
- Artificial intelligence Society in the Future
- Advancement of AI Industries
What is the duration, language, and format of Huawei Certified ICT Associate-Artificial Intelligence
- Passing score: 80%
- Format: Multiple choices, multiple answers
- Number of Questions: 55
- Length of Examination: 160 minutes
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Understanding functional and technical aspects of Overview of Deep Learning
The following will be discussed in HUAWEI H13-311 exam dumps:
- Characterizing the Operation
- Instating All Variables
- TensorFlow Characteristics
- Utilizing the Model
- Upgrading Functions and Objectives
- TensorFlow Development Environment Setup
- TensorFlow Overview
- TensorFlow Basics
- Repeat and Update Parameters to the Optimal Solution
- Fundamental Development Steps Using TensorFlow
- Characterizing the TensorFlow Input Node
- TensorFlow Modules
- Testing the Model
- Characterizing the Learning Parameter Variable
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Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Artificial Intelligence Fundamentals | - AI concepts and development history - AI application scenarios and industry overview |
| Topic 2: Data Processing and Feature Engineering | - Data cleaning and preprocessing - Feature extraction and selection |
| Topic 3: Deep Learning Fundamentals | - Neural network basics - CNN and RNN principles |
| Topic 4: Huawei AI Development Platform and Tools | - ModelArts platform basics - MindSpore framework introduction |
| Topic 5: AI Application Practice | - Basic model training and deployment concepts - End-to-end AI solution workflow |
| Topic 6: Computer Vision and NLP Basics | - Natural language processing fundamentals - Image recognition and processing |
| Topic 7: Machine Learning Basics | - Common algorithms overview (regression, classification, clustering) - Supervised and unsupervised learning |
