Learn GPU programming fundamentals through this hands-on tutorial session designed for astronomers and researchers working with fast radio transients. Explore parallel computing concepts and GPU architecture while gaining practical experience with CUDA programming or similar GPU frameworks. Practice implementing algorithms commonly used in radio astronomy data processing, including single-pulse search techniques and real-time data analysis methods. Develop skills in optimizing computational performance for large-scale astronomical datasets, particularly relevant for fast radio burst detection and analysis. Apply GPU programming techniques to accelerate time-domain astronomy workflows and understand how parallel processing can enhance the efficiency of transient detection algorithms used in modern radio telescopes and survey programs.