عراب ال IT 
امتحانات دوليه
H13-321) HCIP-AI (EI Developer)
About the Certification
The certification aims to enable candidates to build end-to-end AI solutions, develop Machine Learning and Deep Learning models, deploy and operate intelligent applications on the cloud, and integrate AI algorithms into enterprise environments using the full Huawei AI ecosystem. It reflects an advanced professional level in designing comprehensive AI solutions, model deployment, data management, and performance optimization within enterprise environments. The curriculum focuses on AI application development using Huawei EI, working with ModelArts for model deployment, data preparation and feature engineering, designing Computer Vision and NLP solutions, managing the AI lifecycle from training to deployment and monitoring, and operating AI solutions on Huawei Cloud. This makes it a strong, hands-on certification for mastering the development and operation of enterprise-grade AI systems on the Huawei platform.
Main Curriculum
The curriculum is divided into six main sections:
- AI Application Development on EI
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- AI Application Development on EI
- Using development interfaces (APIs / SDKs)
- Intelligent application design
- Data-driven processing and workflow integration
- Data Preparation and Feature Engineering
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- Data collection, cleaning, and preparation
- Feature extraction
- Normalization and preprocessing techniques
- Huawei AI Fundamentals
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- Huawei AI Fundamentals
- Overview of the Huawei EI platform
- System components and architecture
- Core Artificial Intelligence concepts
- Optimization, Testing, and Production Readiness
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- Testing intelligent applications
- Performance optimization
- Error monitoring and troubleshooting
- Preparing for production environments
- Model Training and Algorithm Integration
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- Building and training Machine Learning models
- Integrating pre-built or custom algorithms
- Model evaluation and optimization
- Model Deployment and Lifecycle Management
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- Deploying models on the platform
- Version and model management
- Model monitoring and retraining
Exam Details :
- Exam code: H13-321
- Exam duration: 90 minutes
- Question types: Multiple choice + AI application development scenarios + Python and Machine Learning questions + ModelArts operation tasks + Use case analysis
- Number of questions: 60 questions
- Language: English
- Passing score: 600 out of 1000 (≈ 60%)
- Exam fee: USD 300 (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 experience with Python, basic knowledge of AI and Machine Learning concepts, understanding of cloud environments, and data analysis skills.
Which certifications are recommended after this one ?
Not mandatory.
However, for those seeking a strong career path in AI solution development using Huawei EI—especially in AI model development, intelligent application building, and deployment on Huawei platforms—the HCIP-AI (EI Developer) certification is a powerful milestone.
What are the main uses of the HCIP-AI (EI Developer) certification ?
- HCIE-AI – Reaching expert-level design and deployment of enterprise-scale AI solutions
- Advanced Machine Learning & Deep Learning – Specializing in advanced models (NLP, Computer Vision, Reinforcement Learning)
- Generative AI (LLMs / Fine-Tuning / RAG) – Building and customizing generative AI solutions
- MLOps / AI Operations – Model operations, automation, monitoring, and AI lifecycle management in production
- Data Engineering for AI – Strengthening data pipelines, feature stores, and large-scale data processing
- Cloud AI Architect (Huawei Cloud / AWS / Azure / GCP) – Designing scalable and reliable cloud-based AI solutions
Your Step Toward Professional AI Development :
This certification provides strong hands-on experience in developing AI applications on the Huawei platform, and proves your ability to build, train, and deploy enterprise-ready AI models.
Who is this certification suitable for?
- AI Developers
- Machine Learning Engineers
- Data Scientists
- Cloud AI Developers
- Software Engineers interested in AI
- Anyone involved in building and developing AI models