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The Complete Course of CUDA Programming
Rating: 3.0 out of 5(37 ratings)
274 students

The Complete Course of CUDA Programming

Learn GPU and Parallel Programming in a Professional way from Scratch. Become an expert in CUDA, from ZERO to HERO!
Last updated 1/2025
English

What you'll learn

  • At the end of the course you will fully master CUDA programming, to be able to execute GPU programming
  • You will be able to build step by step codes from scratch, understanding all the logic and ending with advanced practical examples and a complete project
  • You will become familiar with the development interface, toolbars and basic commands, and you will master all the phases of the configuration process
  • You will learn in a professional way the basics of CUDA programming, writing first lines of code, debugging, profiling and synchronizating threads
  • You will understand the fundamental Memory Management and Memory Optimization Techniques
  • You will master the Advanced Techniques: managing multiple GPUs, libraries for parallel (cuBLAS, cuFFT...), dynamic paralellism, recursive GPU programming...
  • You will learn the CUDA Performance Analysis and Performance Optimization, and above all, understanding their interpretation
  • You will be able to practice the content learned in a practical way by following all the steps in the complete exercises and the final project
  • You will start with the basics and progressively carry out more complex steps until you reach an advanced level and absolute mastery at the end of the course

Course content

7 sections26 lectures7h 44m total length
  • Course introduction and overview1:32

    Explore CUDA programming basics and parallel programming with NVIDIA GPUs, including threads, memory management, optimization techniques, and performance analysis, plus real-world applications and case studies.

  • Introduction to parallel computing and its relevance2:51

    Learn how parallel programming subdivides tasks into subtasks and distributes them across multiple cores to run concurrently, improving efficiency on modern CPUs and GPUs.

  • CUDA programming model5:26

    Explore the CUDA programming model and its parallel GPGPU architecture, detailing host and device roles, kernels, threads, blocks, grids, memory spaces, and cross-device data transfer.

  • Quiz

Requirements

  • Having basic notions of GPU programming can help, but the course starts from scratch
  • Download and install the development environment (if you don't know how, don't worry, it's very easy, free and I'll explain it to you in the course!)
  • A decent computer and of course, desire to learn!

Description

Become a CUDA professional and learn one of employer's most requested skills nowadays!

This comprehensive course is designed so that students, programmers, computer scientists, engineers... can learn CUDA Programming from scratch to use it in a practical and professional way. Never mind if you have no experience in the topic, you will be equally capable of understanding everything and you will finish the course with total mastery of the subject.

After several years working as an Engineer, I have realized that nowadays mastering CUDA for parallel programming on GPUs is very necessary in many programming applications. Learning it can give you many job opportunities and many economic benefits, especially in the world of the programming and development.

The big problem has always been the complexity to perfectly understand CUDA Programing it requires, since its absolute mastery is not easy. In this course I try to facilitate this entire learning and improvement process, so that you will be able to carry out and understand your own projects in a short time, thanks to the step-by-step and detailed examples of every concept.

With almost 8 exclusive hours of video, this comprehensive course leaves no stone unturned! It includes both practical exercises and theoretical examples to master CUDA programming. The course will teach you GPU programming and parallel computing in a practical way, from scratch, and step by step.

We will start with the installation of the needed software and work environment on your computer, regardless of your operating system and computer.

Then, we'll cover a wide variety of topics, including:

  • Introduction to CUDA, parallel computing and course dynamics

  • Download and Install the development environment and needed software, and configuring it

  • General familiarization with the user interface and CUDA essential commands

  • CUDA Thread Execution: writing first lines of code, debugging, profiling and thread synchronization

  • Memory Management and Memory Optimization Techniques

  • Advanced CUDA Programming Techniques: managing multiple GPUs, libraries for parallel algorithms (cuBLAS, cuFFT...), dynamic paralellism, recursive GPU programming...

  • Performance Analysis and Performance Optimization

  • CUDA Applications, case studies and real time project

  • Mastery and application of absolutely ALL the functionalities of CUDA and parallel and GPU programming

  • Practical exercises, complete project and much more!

In other words, what I want is to contribute my grain of sand and teach you all those things that I would have liked to know in my beginnings and that nobody explained to me. In this way, you can learn to code a wide variety of projects quickly and make versatile and complete use of CUDA programming. And if that were not enough, you will get lifetime access to any class and I will be at your disposal to answer all the questions you want in the shortest possible time.

Learning CUDA Programming has never been easier. What are you waiting to join?

Who this course is for:

  • Beginners who have never used CUDA before
  • Programmers, Developers, Engineers, Students... who want to learn a new way to execute parallel programming on GPUs
  • Intermediate or advanced CUDA Programming students who want to improve their skills even more!