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 the Huawei Ascend Platform
- Overview of Ascend architecture and its ecosystem
- Overview of MindSpore and CANN
- Relevant use cases and industry applications
Establishing the Development Environment
- Installation of the CANN toolkit and MindSpore
- Utilizing ModelArts and CloudMatrix for project orchestration
- Validating the environment with sample models
Model Development with MindSpore
- Defining and training models in MindSpore
- Structuring data pipelines and dataset formatting
- Exporting models to Ascend-compatible formats
Optimizing Performance on Ascend
- Implementing operator fusion and custom kernels
- Applying tiling strategies and AI Core scheduling
- Leveraging benchmarking and profiling tools
Deployment Strategies
- Evaluating edge versus cloud deployment tradeoffs
- Utilizing the MindX SDK for deployment
- Integrating with CloudMatrix workflows
Debugging and Monitoring
- Using Profiler and AiD for tracing
- Diagnosing runtime failures
- Monitoring resource usage and throughput
Case Study and Lab Integration
- End-to-end pipeline development using MindSpore
- Lab: Build, optimize, and deploy a model on Ascend
- Comparing performance against other platforms
Summary and Future Directions
Requirements
- A solid understanding of neural networks and AI workflows
- Proficiency in Python programming
- Familiarity with model training and deployment pipelines
Target Audience
- AI engineers
- Data scientists utilizing the Huawei AI stack
- ML developers working with Ascend and MindSpore
21 Hours
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 (1)
That i gained a knowledge regarding streamlit library from python and for sure i'll try to use it to improve applications in my team which are made in R shiny
