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Updated: Sep 15, 2026

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Huawei H13-336_V1.0 Exam Overview:

Certification Vendor:Huawei
Exam Name:HCIE-AI Developer V1.0 (Written Exam)
Exam Number:H13-336_V1.0
Available Languages:English, Chinese
Passing Score:600 out of 1000
Real Exam Qty:60-70
Related Certifications:HCIA-AI V3.0
HCIE-AI Developer V1.0 (Lab Exam) H13-337
HCIP-AI Series Certifications
Exam Format:True/False questions, Multiple-answer questions, Scenario-based questions, Drag-and-drop questions, Single-answer questions
Exam Duration:90 minutes
Exam Price:Approx. 300 USD
Certificate Validity Period:2 years (with 1-year grace period)
Recommended Training:Huawei ICT Academy Courses
Huawei Authorized Training Partners
Exam Registration:Huawei Talent Certification Portal
Pearson VUE Huawei Exam Registration
Exam Way:Computer-based delivered at Pearson VUE test centers; official release date is June 30, 2026
Pre Condition:No mandatory prerequisites; holding HCIA-AI and HCIP-AI Developer certifications or equivalent practical experience is strongly recommended; candidates should master Python, machine learning/deep learning, and Huawei AI stack
Official Syllabus URL:https://e.huawei.com/en/talent/cert/

Huawei H13-336_V1.0 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Huawei AI Platform and Model Development25%-30%- ModelArts full-lifecycle development
  • 1. Model training, evaluation and selection
    • 2. Model compression, quantization and pruning
      - MindSpore framework and Ascend computing system
      • 1. Operator development and optimization
        • 2. Distributed training strategies
          Topic 2: Data Engineering for AI10%-15%- Feature engineering and data management
          • 1. Feature selection, transformation and encoding
            • 2. Data version control and lifecycle management
              - Data collection, cleaning and annotation
              • 1. Data quality assessment and governance
                • 2. Large-scale dataset construction
                  Topic 3: Model Deployment and Inference Optimization15%-20%- Performance optimization and stability assurance
                  • 1. Resource scheduling and fault tolerance
                    • 2. Inference latency and throughput tuning
                      - Inference engine and service deployment
                      • 1. Batch processing and pipeline parallelism
                        • 2. Edge-cloud collaborative deployment
                          Topic 4: Intelligent Application Development15%-20%- RAG system design and implementation
                          • 1. Prompt engineering and generation control
                            • 2. Vector database selection and retrieval optimization
                              - Agent and multi-modal application development
                              • 1. Tool calling and task planning
                                • 2. Multi-modal fusion and service integration
                                  Topic 5: AI Security and Governance5%-10%- Model security and privacy protection
                                  • 1. Data desensitization and federated learning
                                    • 2. Adversarial attack and defense
                                      - Compliance and lifecycle governance
                                      • 1. Model audit and interpretability
                                        • 2. Compliance with AI industry regulations
                                          Topic 6: AI Development Fundamentals and Large Model Technologies15%-20%- Advanced machine learning and deep learning principles
                                          • 1. Foundation model architectures (Transformer, MoE, etc.)
                                            • 2. Neural network optimization and regularization
                                              - Large model pre-training and alignment technologies
                                              • 1. Fine-tuning, RLHF, DPO and other alignment methods
                                                • 2. Pre-training data construction and processing

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