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  • Total Questions: 175
  • Updated on: Sep 08, 2026
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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 computerized reasoning
  • Outline of Deep Learning
  • Outline of Huawei cloud EI
  • Fundamental science information and pre-information for Deep Learning
  • Python programming nuts and bolts
  • Outline of TensorFlow, programming nuts and bolts, and techniques for utilizing TensorFlow programming for picture acknowledgment, discourse acknowledgment, and human-machine exchange

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Understanding functional and technical aspects of Python programming basics

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  • Restrictive and Loop Statements
  • Customary Expressions
  • Records and Tuples
  • Record Manipulation
  • Article Oriented Programming
  • Capacities
  • Date and Time
  • Prologue to Python
  • Strings
  • Word references

How much Huawei Certified ICT Associate-Artificial Intelligence cost

Huawei Certified ICT Associate-Artificial Intelligence cost is $250 USD

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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.

Huawei H13-311-ENU Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Mathematics and Python Basics15%- Linear algebra, probability, statistics, calculus fundamentals
- Python syntax, data structures, libraries: NumPy, Pandas, Matplotlib
Topic 2: Huawei AI Solutions & Applications5%- Edge/cloud AI deployment scenarios
- Full-stack all-scenario AI strategy
- Ascend chips, Atlas hardware, CANN
Topic 3: AI Overview15%- Definition, history and development trends of AI
- Typical industry applications and AI ethics
- Main technical branches: ML, DL, computer vision, NLP
Topic 4: Machine Learning Overview20%- Common algorithms: regression, decision tree, SVM, clustering
- Supervised, unsupervised, reinforcement learning
- Model training, evaluation, overfitting, underfitting
Topic 5: AI Development Frameworks20%- MindSpore framework fundamentals and operations
- Huawei Cloud ModelArts, Ascend AI ecosystem
- TensorFlow/PyTorch basics
Topic 6: Deep Learning Overview25%- CNN, RNN/LSTM, Transformer basics
- Activation, loss functions, optimizers
- Neural network structure and backpropagation

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