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Course Outline
Introduction to Huawei CloudMatrix for Government
- Overview of the CloudMatrix ecosystem and deployment process
- Supported models, formats, and deployment modes for government use
- Common use cases and supported chipsets in public sector applications
Preparing Models for Deployment for Government
- Exporting models from training tools (MindSpore, TensorFlow, PyTorch) for government projects
- Utilizing ATC (Ascend Tensor Compiler) for format conversion in government environments
- Understanding static and dynamic shape models in the context of public sector operations
Deploying to CloudMatrix for Government
- Creating services and registering models within the government framework
- Deploying inference services via user interface or command-line interface for government agencies
- Implementing routing, authentication, and access control measures for secure government operations
Serving Inference Requests for Government
- Differentiating between batch and real-time inference flows in public sector applications
- Designing data preprocessing and postprocessing pipelines for government use
- Integrating CloudMatrix services into external applications for government operations
Monitoring and Performance Tuning for Government
- Analyzing deployment logs and tracking requests in government systems
- Implementing resource scaling and load balancing for optimal performance in government environments
- Adjusting latency and optimizing throughput to meet government standards
Integration with Enterprise Tools for Government
- Connecting CloudMatrix with OBS (Object Storage Service) and ModelArts in government settings
- Utilizing workflows and model versioning for efficient government operations
- Implementing CI/CD pipelines for model deployment and rollback in the public sector
End-to-End Inference Pipeline for Government
- Deploying a comprehensive image classification pipeline for government use
- Conducting benchmarking and validating accuracy in government applications
- Simulating failover scenarios and setting up system alerts for government systems
Summary and Next Steps for Government
Requirements
- An understanding of artificial intelligence (AI) model training workflows for government
- Experience with Python-based machine learning frameworks
- Basic familiarity with cloud deployment concepts
Audience
- AI operations teams
- Machine learning engineers
- Cloud deployment specialists working with Huawei infrastructure for government applications
21 Hours
Testimonials (1)
Step by step training with a lot of exercises. It was like a workshop and I am very glad about that.
