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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
- Typical use cases and supported chipsets in public sector applications
Preparing Models for Deployment
- Exporting models from training tools (MindSpore, TensorFlow, PyTorch) for government projects
- Utilizing ATC (Ascend Tensor Compiler) for format conversion in a secure environment
- Understanding static versus dynamic shape models in public sector applications
Deploying to CloudMatrix for Government
- Creating services and registering models within the government framework
- Deploying inference services via user interface or command-line interface, ensuring compliance with public sector standards
- Implementing routing, authentication, and access control to meet government security requirements
Serving Inference Requests for Government
- Managing batch versus real-time inference flows in government operations
- Developing data preprocessing and postprocessing pipelines for public sector use
- Integrating CloudMatrix services with external applications to support government workflows
Monitoring and Performance Tuning for Government
- Reviewing deployment logs and tracking requests to ensure transparency and accountability in public sector operations
- Scaling resources and implementing load balancing to optimize performance for government applications
- Adjusting latency and throughput to meet the high standards of public sector performance
Integration with Enterprise Tools for Government
- Connecting CloudMatrix with OBS and ModelArts to enhance government data management
- Utilizing workflows and model versioning to maintain governance in public sector projects
- Implementing CI/CD pipelines for model deployment and rollback to ensure robustness in government systems
End-to-End Inference Pipeline for Government
- Deploying a comprehensive image classification pipeline tailored for public sector needs
- Conducting benchmarking and validating accuracy to meet government standards
- Simulating failover scenarios and setting up system alerts to ensure reliability in government operations
Summary and Next Steps for Government
Requirements
- A comprehensive understanding of artificial intelligence (AI) model training workflows for government applications
- Practical experience with Python-based machine learning frameworks
- Basic knowledge of cloud deployment concepts, particularly relevant to public sector operations
Audience
- AI operations teams for government
- Machine learning engineers supporting public sector initiatives
- Cloud deployment specialists working with Huawei infrastructure in a governmental context
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.
