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Course Outline
Introduction to Huawei CloudMatrix
- CloudMatrix ecosystem and deployment flow
- Supported models, formats, and deployment modes
- Typical use cases and supported chipsets
Preparing Models for Deployment
- Model export from training tools (MindSpore, TensorFlow, PyTorch)
- Using ATC (Ascend Tensor Compiler) for format conversion
- Static vs dynamic shape models
Deploying to CloudMatrix
- Service creation and model registration
- Deploying inference services via UI or CLI
- Routing, authentication, and access control
Serving Inference Requests
- Batch vs real-time inference flows
- Data preprocessing and postprocessing pipelines
- Calling CloudMatrix services from external apps
Monitoring and Performance Tuning
- Deployment logs and request tracking
- Resource scaling and load balancing
- Latency tuning and throughput optimization
Integration with Enterprise Tools
- Connecting CloudMatrix with OBS and ModelArts
- Using workflows and model versioning
- CI/CD for model deployment and rollback
End-to-End Inference Pipeline
- Deploying a complete image classification pipeline
- Benchmarking and validating accuracy
- Simulating failover and system alerts
Summary and Next Steps
Requirements
- An understanding of AI model training workflows
- Experience with Python-based ML frameworks
- Basic familiarity with cloud deployment concepts
Audience
- AI ops teams
- Machine learning engineers
- Cloud deployment specialists working with Huawei infrastructure
21 Hours
Delivery Options
Private Group Training
Our identity is rooted in delivering exactly what our clients need.
- Pre-course call with your trainer
- Customisation of the learning experience to achieve your goals -
- Bespoke outlines
- Practical hands-on exercises containing data / scenarios recognisable to the learners
- Training scheduled on a date of your choice
- Delivered online, onsite/classroom or hybrid by experts sharing real world experience
Private Group Prices RRP from €6840 online delivery, based on a group of 2 delegates, €2160 per additional delegate (excludes any certification / exam costs). We recommend a maximum group size of 12 for most learning events.
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Public Training
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