GPU Programming Fundamentals Training in India

This course introduces the core principles of GPU programming, including GPU architecture, parallel programming concepts, and hands-on development with CUDA C/C++. Participants will gain foundational knowledge in writing parallel algorithms, managing GPU memory, and optimizing code performance for GPU execution.

Welcome to the official GPU Programming Fundamentals Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in India. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 21 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Basic knowledge of C or C++ programming
• Familiarity with operating systems and command-line usage
• No prior experience with GPU programming required

• Understand GPU architecture and execution model
• Write and launch CUDA kernels
• Manage GPU memory and data transfer
• Debug and optimize parallel code
• Analyze performance and implement simple parallel algorithms

By the end of this course, participants will:

• Have a strong understanding of GPU and CUDA fundamentals
• Be able to write simple, functional CUDA programs
• Understand how to utilize parallelism in algorithm design
• Know how to debug, profile, and optimize GPU code
• Be prepared for further exploration into HPC, ML, and advanced GPU topics