Course Outline
Introduction to Huawei CloudMatrix <\/p>
- Overview of the CloudMatrix ecosystem and deployment workflow <\/li>
- Supported models, formats, and deployment modes <\/li>
-
Typical use cases and compatible chipsets
<\/li>
<\/ul>
Preparing Models for Deployment <\/p>
- Exporting models from training tools such as MindSpore, TensorFlow, and PyTorch <\/li>
- Leveraging ATC (Ascend Tensor Compiler) for format conversion <\/li>
-
Understanding static versus dynamic shape models
<\/li>
<\/ul>
Deploying to CloudMatrix <\/p>
- Creating services and registering models <\/li>
- Deploying inference services via the UI or CLI <\/li>
-
Managing routing, authentication, and access control
<\/li>
<\/ul>
Serving Inference Requests <\/p>
- Distinguishing between batch and real-time inference flows <\/li>
- Implementing data preprocessing and postprocessing pipelines <\/li>
-
Integrating CloudMatrix services with external applications
<\/li>
<\/ul>
Monitoring and Performance Tuning <\/p>
- Analyzing deployment logs and tracking requests <\/li>
- Managing resource scaling and load balancing <\/li>
-
Optimizing latency and throughput
<\/li>
<\/ul>
Integration with Enterprise Tools <\/p>
- Connecting CloudMatrix with OBS and ModelArts <\/li>
- Utilizing workflows and model versioning features <\/li>
-
Implementing CI/CD for model deployment and rollback processes
<\/li>
<\/ul>
End-to-End Inference Pipeline <\/p>
- Deploying a complete image classification pipeline <\/li>
- Benchmarking and validating model accuracy <\/li>
-
Simulating failover scenarios and system alerts
<\/li>
<\/ul>
Summary and Next Steps <\/p>
Requirements
- A foundational understanding of AI model training workflows <\/li>
- Prior experience with Python-based machine learning frameworks <\/li>
-
Basic familiarity with cloud deployment concepts
<\/li>
<\/ul>
Target Audience <\/p>
- AI operations teams <\/li>
- Machine learning engineers <\/li>
- Cloud deployment specialists utilizing Huawei infrastructure <\/li> <\/ul>
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
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.
