Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Huawei CloudMatrix
- Overview of the CloudMatrix ecosystem and deployment workflow
- Compatible models, formats, and deployment strategies
- Common use cases and supported chipset architectures
Preparing Models for Deployment
- Exporting models from training tools (MindSpore, TensorFlow, PyTorch)
- Utilizing ATC (Ascend Tensor Compiler) for format conversion
- Handling static versus dynamic shape models
Deploying to CloudMatrix
- Creating services and registering models
- Deploying inference services via the UI or command line
- Managing routing, authentication, and access controls
Serving Inference Requests
- Comparing batch and real-time inference flows
- Implementing data preprocessing and postprocessing pipelines
- Integrating CloudMatrix services into external applications
Monitoring and Performance Tuning
- Reviewing deployment logs and tracking requests
- Managing resource scaling and load balancing
- Optimizing latency and throughput
Integration with Enterprise Tools
- Connecting CloudMatrix with OBS and ModelArts
- Leveraging workflows and model versioning
- Implementing CI/CD for model deployment and rollback
End-to-End Inference Pipeline
- Building a complete image classification pipeline
- Benchmarking performance and validating accuracy
- Simulating failover scenarios and system alerts
Summary and Next Steps
Requirements
- A solid grasp of AI model training workflows
- Familiarity with Python-based machine learning frameworks
- Foundational knowledge of cloud deployment concepts
Target Audience
- AI operations teams
- Machine learning engineers
- Cloud deployment specialists utilizing Huawei infrastructure
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.
