The HCIA-AI is a foundational certification from Huawei, designed as part of the HCIA-AI track, focusing on building a solid understanding of Artificial Intelligence (AI), Machine Learning, Neural Networks, and data processing using Huawei Cloud technologies. The certification aims to establish a strong knowledge base that enables candidates to enter the field of Artificial Intelligence by combining theoretical concepts with practical applications.
It covers AI fundamentals, Machine Learning concepts, Neural Networks and Deep Learning, data preparation and feature engineering, model training, evaluation, and optimization, and the use of frameworks such as TensorFlow and MindSpore. It also introduces Huawei Cloud Stack and ModelArts for AI projects, making it suitable for beginners and intermediate-level learners seeking a strong start in the AI field.
عراب ال IT 
امتحانات دوليه
(H13-311 ) HCIA-AI
About the Certification
Main Curriculum
The curriculum is divided into eight main sections:
- Mathematical Foundations
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- Linear algebra fundamentals
- Probability and statistics
- Optimization concepts
- Introduction to Artificial Intelligence
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- Artificial Intelligence concepts
- Use cases and industry trends
- Artificial Intelligence vs. Machine Learning vs. Deep Learning
- Artificial Intelligence on Huawei Cloud
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- Dataset management and data pipelines
- Automated Machine Learning
- ModelArts overview
- Machine Learning Models
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- Evaluation metrics
- Unsupervised learning
- Supervised learning
- Deep Learning Concepts
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- CNN - Convolutional Neural Networks
- RNN - Recurrent Neural Networks
- Practical Applications
- Practical Applications
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- Data preparation
- Data cleaning
- Feature engineering
- Artificial Intelligence Frameworks
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- Training and deployment
- Huawei MindSpore fundamentals
- TensorFlow overview
- Neural Network Fundamentals
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- Perceptron concept
- Backpropagation
- Activation functions
Exam Details :
- Exam code: DP-420
- Exam duration: 90 minutes
- Question types: Multiple choice + Multiple-answer questions Conceptual questions in AI and ML + Practical and scenario-based questions
- Language: English
- Number of questions: 60 questions
- Passing score: 600 out of 1000 (≈ 60%)
- Exam fee: USD 200 (may vary by country and may include taxes)
- Certification validity: 3 years
Do I need certifications before it ?
No, not at all.
However, in practice, it is recommended to have basic mathematical knowledge, introductory Python programming skills, and light experience working with data.
Which certifications are recommended after this one ?
Not mandatory.
However, for those seeking a strong foundation in Artificial Intelligence especially in AI, Machine Learning, and Deep Learning concepts applied on Huawei platforms the HCIA-AI certification is the strongest starting point.
What are the main uses of the HCIA-AI certification?
- HCIP-AI – Advancing toward professional-level AI model building, training, and deployment
- Machine Learning & Deep Learning Tracks – Building strong foundations in ML and DL (Python, Neural Networks)
- Cloud AI (Huawei Cloud / AWS / Azure / GCP) – Applying AI solutions within cloud environments
- Data Engineering & Data Analytics – Strengthening the data layer that AI models rely on
- Generative AI (LLMs / Prompt Engineering) – Specializing in modern generative AI technologies
- MLOps / AI Operations – Managing model lifecycle, monitoring, and deployment
Your First Step into the World of Artificial Intelligence :
This certification provides the scientific and practical foundation required to enter the AI field. It demonstrates your ability to understand the core principles of Machine Learning and Deep Learning, and prepares you for advanced levels within the Huawei AI certification track.
Who is this certification suitable for ?
- AI developers
- Data Analysts & Data Engineers
- Computer Engineering and AI students
- Cloud & Software Developers
- Machine Learning researchers