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How to book Huawei Certified ICT Associate-Artificial Intelligences
The registration for the Huawei Certified ICT Associate-Artificial Intelligence follows the steps given below.
- Stage 1: Visit the website
- Stage 2: Sign in or join to your account
- Stage 4: Take the date of the test, pick test focus and make payment
- Stage 3: Search for the test name
Topics 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 TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange
- Outline of computerized reasoning
- Outline of Deep Learning
- Fundamental science information and pre-information for Deep Learning
- Outline of Huawei cloud EI
- Python programming nuts and bolts
Understanding functional and technical aspects of Python programming basics
The following will be discussed in HUAWEI H13-311 exam dumps:
- Word references
- Prologue to Python
- Records and Tuples
- Article Oriented Programming
- Record Manipulation
- Strings
- Date and Time
- Restrictive and Loop Statements
- Capacities
- Customary Expressions
Huawei H13-311-ENU Exam Syllabus Topics:
| Section | Objectives |
| AI Development and Huawei AI Ecosystem | - Data processing and AI pipeline
- 1. Data preprocessing and feature engineering
- 2. Model evaluation and optimization basics
- Huawei AI platform and tools
- 1. MindSpore framework overview
- 2. Model training and deployment workflow
|
| Machine Learning Basics | - Supervised learning
- 1. Regression models
- 2. Classification models
- Unsupervised learning
- 1. Dimensionality reduction
- 2. Clustering algorithms
|
| Deep Learning Fundamentals | - Common deep learning models
- 1. RNN basics for sequence modeling
- 2. CNN basics for computer vision
- Neural networks
- 1. Perceptron and multilayer networks
- 2. Activation functions and backpropagation
|
| Artificial Intelligence Fundamentals | - AI concepts and basic principles
- 1. Definition of AI and key terminology
- 2. AI application scenarios and industry overview
- Mathematics for AI
- 1. Probability and statistics fundamentals
- 2. Linear algebra basics
|