Learning Path

# Accelerated Computing

Learn how to accelerate your applications and your career with the power of GPUs.

Gain hands-on experience with the fundamentals of GPU-accelerated computing. This learning path introduces core concepts, tools, and techniques to speed up complex applications—from parallel programming basics to performance optimization—so you can unlock the full power of accelerated systems.

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## Choose the Training That Best Matches Your Needs

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### Foundational

[Self-Paced

### An Even Easier Introduction to CUDA

Free  
 1 Hour](https://courses.nvidia.com/courses/course-v1:DLI+T-AC-01+V1/)

[Self-Paced

### Getting Started With Accelerated Computing With Modern CUDA C/C++

$90  
 8 Hours  
 Certificate available  
 Also offered as an instructor-led workshop](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-04+V1)

[Self-Paced

### Fundamentals of Accelerated Computing With CUDA Python

$90  
 8 Hours  
 Certificate available  
 Also offered as an instructor-led workshop](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-10+V1)

### GPU Programming With the C++ Standard Library

[Self-Paced

### GPU Acceleration With the C++ Standard Library

$90  
 2 Hours](https://courses.nvidia.com/courses/course-v1:DLI+S-AC-08+V1/)

[Self-Paced

### Scaling GPU-Accelerated Applications With the C++ Standard Library

$30  
 2 Hours](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-09+V1)

### Profiling

[Self-Paced

### Optimizing CUDA ML Codes With NVIDIA Nsight Profiling Tools

$30  
 2 Hours](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-03+V2)

[Self-Paced

### Nsight Analysis System: Build Custom Python Analysis Scripts

$30  
 2 Hours](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-13+V1)

[Self-Paced

### Find the Bottleneck: Optimize AI Pipelines With Nsight Systems

$30  
 3 Hours](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+S-AC-14+V1)

### Networking

[Instructor-Led

### Fundamentals of Accelerated Networking with NVIDIA DOCA

$500  
 8 Hours](https://learn.nvidia.com/courses/course-detail?course_id=course-v1:DLI+C-NP-02+V1)

## Additional Resources

[Blog

#### What Is Accelerated Computing?](https://blogs.nvidia.com/blog/what-is-accelerated-computing/)

[Blog

#### Why Accelerated Data Processing Is Crucial for AI Innovation in Every Industry](https://blogs.nvidia.com/blog/accelerated-data-processing-ai-industry-innovation/)

[Blog

#### CUDA Accelerated: NVIDIA Launches Array of New CUDA Libraries to Expand Accelerated Computing and Deliver Order-of-Magnitude Speedup to Science and Industrial Applications](https://blogs.nvidia.com/blog/cuda-accelerated-computing-energy-efficiency/)

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