Courses and Certifications

Disaster Risk Monitoring Using Satellite Imagery 🔗

This course is a guided project that instructs on the significance of building a disaster risk monitoring system, as well as the utilization of satellite imagery from UNOSAT and the deployment of the model on the Triton Inference Server.

Fundamentals of Accelerated Computing with CUDA Python

This course provides an introduction to GPU-accelerated computing using CUDA Python and covers topics such as parallel programming, memory management, and optimization techniques through hands-on exercises and lectures. By the end of the course, participants can leverage GPUs for high-performance computing tasks in various domains, from scientific simulations to deep learning algorithms.

Scaling Workload with Multiple GPUs by Nvidia

This course teaches optimal use of multiple GPUs for scaling tasks. Participants learn parallel computing and distributed training, optimizing performance for various applications like scientific simulations and deep learning models.

Accelerating Cuda Cpp applications with Concurrent Streams

This course maximizes CUDA C++ application performance through concurrent stream management. Participants learn to optimize resource usage and throughput using multiple GPU streams simultaneously. This hands-on training enhances efficiency and performance across various tasks, from scientific computing to machine learning.