Coursera – GPU Programming Specialization 2024-6

GPU Programming Specialization is a graphics processing unit (GPU) programming training series published by Coursera Training Academy. This educational series consists of four separate courses. Graphics cards and their processing units usually have a lot of processing power and can process a huge amount of different data in a short period of time. For this reason, these cards are usually used in heavy computing or HPC projects. This educational collection can be useful for many people active in the fields of data science and software development. Writing flexible software that fits the available hardware is one of the most important skills that you should know as a professional software developer.

During this training course, you will get to know CUDA and the libraries that provide us with features such as parallel processing and repeated processing. These libraries are usually used in machine learning applications, signal processing, image and sound, etc.

What you will learn in GPU Programming Specialization:

• machine learning
• Graphics processing unit (GPU) and its programming
• Parallel Computing
• Image Processing
• C++ programming language
• Cuda processing and programming platform
• Python programming language
• Strings and its importance in calculations
• Algorithm writing
• Nvidia
• Data science
• Getting to know the general structure of graphics processing units (GPU)
• And …

Course Specifications

Publisher: Coursera
Instructors: Chancellor Thomas Pascale
Language: English
Level: Intermediate
institution/university: Johns Hopkins University
Number of Courses: 4
Duration: 2 months at 10 hours a week

Courses included:

GPU Programming Specialization Prerequisites

What background knowledge is necessary?

Prospective students should have a minimum of 1 year of programming experience. A high level of comfort in programming in C/C++ will aid in the absorbtion of material and completion of assignments.

Do I need to take the courses in a specific order?

Pictures

GPU Programming Specialization Introduction Video

Installation Guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

This Specialization contain 4 courses.

2024/6 version compared to 2022/12, the number of courses and duration have not changed. Only 7 text files have increased

Download Links

Introduction to Concurrent Programming with GPUs

Download – 479 MB

Introduction to Parallel Programming with CUDA

Download – 361 MB

CUDA at Scale for the Enterprise

Download – 414 MB

CUDA Advanced Libraries

Download – 329 MB

Size

In total, about 1.5 GB