Huawei H13-311-ENU Exam Information and Actual Questions
- Exam Code/Number: H13-311-ENU
- Exam Name/Title: HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
- Certification Provider: Huawei
- Corresponding Certification: Huawei-certification
- Exam Questions: 175
- Updated On: Sep 08, 2026
H13-311-ENU
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Huawei
H13-311-ENU Exam
HCIA-AI (Huawei Certified ICT Associate-Artificial Intelligence)
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Huawei H13-311-ENU Exam Overview:
| Certification Vendor: | Huawei |
|---|---|
| Exam Name: | HCIA-AI V1.0 Exam |
| Exam Number: | H13-311 |
| Real Exam Qty: | 50-60 |
| Exam Price: | 200 USD |
| Related Certifications: | HCIP-AI HCIE-AI |
| Certificate Validity Period: | 3 years |
| Available Languages: | English, Chinese |
| Exam Duration: | 90 minutes |
| Exam Format: | Short response items, Single-answer questions, Multiple-answer questions, Drag and drop items, True or false |
| Passing Score: | 600/1000 |
| Recommended Training: | Huawei Official HCIA-AI Training Huawei ICT Academy Resources |
| Exam Registration: | Huawei Talent Online Pearson VUE Huawei Exam Registration |
| Sample Questions: | Huawei H13-311-ENU Sample Questions |
| Exam Way: | Written exam, online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic knowledge of mathematics, Python programming, and introductory AI concepts recommended; no mandatory prerequisites |
| Official Syllabus URL: | https://e.huawei.com/en/talent/cert/ |
Huawei H13-311-ENU certification exam is designed to test an individual's knowledge and skills in the field of Artificial Intelligence. H13-311-ENU exam is specifically tailored for candidates who are seeking to become certified as Huawei Certified ICT Associates in Artificial Intelligence. H13-311-ENU exam covers a wide range of topics including the basics of AI, machine learning, deep learning, neural networks, natural language processing, and computer vision.
How to Prepare For Huawei Certified ICT Associate-Artificial Intelligence
Preparation Guide for Huawei Certified ICT Associate-Artificial Intelligence
Introduction for Huawei Certified ICT Associate-Artificial Intelligence
Passing the HCIA-AI V1.0 affirmation will demonstrate that you have dominated the AI advancement history, the Huawei Ascend AI framework, the full-stack all-situation AI strategy,and the calculations identified with customary AI and profound learning. You can fabricate, train, and convey neural organizations by utilizing advancement systems TensorFlow and MindSpore. You are capable for deals, advertising, item supervisor, project the executives, specialized help, and other AI positions. This test manages the forefront AI advances and improvement patterns. The science, Python, TensorFlow, and profound learning hypotheses and advancement rehearses needed by AI. The picture acknowledgment, discourse acknowledgment, and machine interpretation improvement measures.
The HCIA-AI V1.0 test covers: Overview of computerized reasoning, Python programming nuts and bolts, Essential arithmetic information and pre-information for Deep Learning, Overview of Deep Learning, Overview of TensorFlow, programming rudiments, and strategies for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange, Overview of Huawei cloud EI.
As a global leading ICT solution provider, Huawei advocates for an open, shared, ICT talent ecosystem that benefits all parties. In 2013, Huawei launched its ICT Academy, a school-enterprise cooperation project that involves higher education institutions, to help build that talent ecosystem. Over the past six years, Huawei has invested heavily in exploring practices with universities and colleges and replicating successful experiences. Huawei has built a talent supply chain covering the entire process of learning, certification, and employment - by deepening the cooperation mechanism between universities and enterprises, aiming to promote industry development, and innovate talent development models based on enterprise requirements. Huawei helps universities cultivate ICT talent that meets industry requirements, providing high-quality talent for industry development.
As digitalization accelerates in various industries, colleges and universities urgently need to reform traditional teaching content and focus more on cutting-edge technologies, ensure that courses keep up with the times, guarantee that teaching materials are related to industry practices, and help students become more employable. To meet these demands, Huawei works with college and university teachers to jointly develop courses based on Huawei's understanding of the industry, technical accumulation, and practices, industry position analysis, and Huawei-certified talent certification standard system, and builds a practical course system that adapts to industry talent requirement.
Huawei H13-311-ENU Certification Exam consists of 60 multiple-choice questions that must be completed within 90 minutes. The questions are designed to test an individual's knowledge of AI concepts and their ability to apply them in real-world scenarios. To pass the exam, an individual must score at least 60 out of 100.
Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Development Frameworks | 12% | - Huawei MindSpore framework introduction - TensorFlow basics and usage |
| Topic 2: Deep Learning Overview | 25% | - Training mechanisms and optimization - CNN, RNN and basic architectures - Neural network fundamentals |
| Topic 3: Huawei AI Platform & Applications | 8% | - Ascend computing platform and Atlas series - Huawei Cloud EI and ModelArts - Typical AI application scenarios |
| Topic 4: Machine Learning Overview | 20% | - Model training and evaluation - Basic concepts and classification - Common algorithms and models |
| Topic 5: Mathematics and Python Basics | 20% | - Data processing and visualization - Linear algebra, probability and statistics - Python programming fundamentals |
| Topic 6: Artificial Intelligence Overview | 15% | - AI technology and application fields - Huawei AI strategy and full-stack architecture - History and development of AI |