PDF Version DemoTopics of Huawei Certified ICT Associate-Artificial Intelligence
The following will be discussed in HUAWEI H13-311 practice exam and HUAWEI H13-311 practice exams:
- Outline of computerized reasoning
- Outline of Deep Learning
- Python programming nuts and bolts
- Outline of Huawei cloud EI
- Outline of TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange
- Fundamental science information and pre-information for Deep Learning
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.
Understanding functional and technical aspects of Overview of TensorFlow, programming basics, and methods of using TensorFlow programming for image recognition, speech recognition, and human-machine dialogue
The following will be discussed in HUAWEI H13-311 exam dumps:
- Boundary Estimation
- Enhancer
- Learning Algorithms
- Outline of Deep Learning
- Enactment Functions
- Regularization in Deep Learning
- Definition and Development of Neural Networks
- Most extreme Likelihood Estimation
- Hyperparameter and Validation Set
- Propaedeutics of Deep Learning
- Normal Machine Learning Algorithms
- Perceptron and Training Rules
- Bayes Estimation
- Sorts of Neural Networks
- Uses of Deep Learning
Huawei H13-311-ENU Exam Overview:
| Certification Vendor: | Huawei |
| Exam Name: | HCIA-AI V1.0 Exam |
| Exam Number: | H13-311 |
| Real Exam Qty: | 60 (approx.) |
| Passing Score: | 600/1000 |
| Available Languages: | English, Chinese |
| Exam Price: | USD 200 (varies by region) |
| Certificate Validity Period: | 3 years |
| Exam Format: | Single choice questions, Multiple choice questions |
| Related Certifications: | HCIP-AI HCIE-AI |
| Exam Duration: | 90 minutes |
| Recommended Training: | Huawei Talent Development / HCIA-AI Training |
| Exam Registration: | Huawei Certification Official Registration |
| Sample Questions: | Huawei H13-311-ENU Sample Questions |
| Exam Way: | Online proctored or authorized test center exam |
| Pre Condition: | No strict prerequisites; basic ICT and programming knowledge recommended |
| Official Syllabus URL: | https://e.huawei.com/en/talent/#/cert |
Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| AI Application Practice | - End-to-end AI solution workflow - Basic model training and deployment concepts |
| Deep Learning Fundamentals | - Neural network basics - CNN and RNN principles |
| Machine Learning Basics | - Common algorithms overview (regression, classification, clustering) - Supervised and unsupervised learning |
| Computer Vision and NLP Basics | - Natural language processing fundamentals - Image recognition and processing |
| Data Processing and Feature Engineering | - Data cleaning and preprocessing - Feature extraction and selection |
| Huawei AI Development Platform and Tools | - MindSpore framework introduction - ModelArts platform basics |
| Artificial Intelligence Fundamentals | - AI application scenarios and industry overview - AI concepts and development history |
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