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CUDA Course

CUDA Course
4 to 360 hours flexible workload
certificate recognised by MEC

What will I learn?

Unlock the power of GPU acceleration with our comprehensive CUDA Course, designed for technology professionals keen to enhance their skills. Delve into deep learning models like Transformers, CNNs, and RNNs, and master CUDA programming and optimisation techniques. Learn to identify bottlenecks, set up the CUDA environment, and validate optimised models through performance benchmarking and accuracy comparison. Document and present your findings effectively, and gain hands-on experience with NVIDIA GPU architecture and parallel computing concepts.

Elevify advantages

Develop skills

  • Master CUDA programming: Write efficient CUDA kernels for high-performance computing.
  • Optimise GPU models: Enhance deep learning models with GPU acceleration techniques.
  • Benchmark performance: Conduct thorough testing and validation of CUDA-optimised models.
  • Document results: Create clear documentation and present performance improvements effectively.
  • Configure CUDA tools: Set up and manage the CUDA development environment seamlessly.

Suggested summary

Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

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The course was essential to meet the expectations of my boss and the company I work for.
SilviaNurse
Great course. Lots of valuable information.
WiltonCivil Firefighter

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