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Course Outline
Overview of Huawei CloudMatrix
- CloudMatrix architecture and deployment workflow
- Compatible model types, formats, and operational modes
- Common applications and supported hardware accelerators
Preparing Models for Deployment
- Exporting models from training frameworks (MindSpore, TensorFlow, PyTorch)
- Utilizing the Ascend Tensor Compiler (ATC) for format conversion
- Differentiating between static and dynamic input shapes
Deploying to CloudMatrix
- Creating services and registering model assets
- Deploying inference endpoints via graphical interface or command-line interface
- Configuring traffic routing, authentication, and access controls for government systems
Serving Inference Requests
- Executing batch versus real-time inference operations
- Managing data preprocessing and postprocessing pipelines
- Integrating CloudMatrix services with external applications
Monitoring and Performance Optimization
- Reviewing deployment logs and tracking request metrics
- Managing resource scaling and load balancing strategies
- Optimizing latency and maximizing throughput efficiency
Integration with Enterprise Tools
- Connecting CloudMatrix with Object Storage Service (OBS) and ModelArts
- Implementing workflow automation and model version control
- Establishing CI/CD pipelines for model deployment and rollback procedures
End-to-End Inference Pipeline
- Deploying a complete image classification workflow
- Conducting benchmark tests and validating model accuracy
- Simulating system failover scenarios and alert protocols
Summary and Next Steps
Requirements
- Proficiency in artificial intelligence model training procedures
- Practical experience utilizing Python-based machine learning frameworks
- Foundational knowledge of cloud deployment architectures
Audience
- AI operations personnel
- Machine learning engineering staff
- Cloud deployment specialists engaged with Huawei infrastructure for government initiatives
21 Hours
Testimonials (2)
The extensive selection of tools presented
Miruna Buzduga - Aeronamic Eastern Europe
Course - AI Enablement Training for Engineers
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
