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Get hands-on practice working with cloud technologies and software. Train on-demand and learn at your own pace. Choose from a variety of Learning Quests to guide you.

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Learn how to program GPUs with C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 4
Total Lab Credits: 55
Total Time: 05 h:42 m
Badge Earned:
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Learn how to program GPUs with Python. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 2
Total Lab Credits: 30
Total Time: 01 h:48 m
Badge Earned:
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Learn how to program GPUs with Fortran. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 40
Total Time: 04 h:26 m
Badge Earned:
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Using MATLAB for GPU computing lets you accelerate your applications with GPUs more easily than by using C or Fortran. With the familiar MATLAB language you can take advantage of the CUDA GPU computing technology without having to learn the intricacies of GPU architectures or low-level GPU computing libraries.

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Total Labs: 1
Total Lab Credits: 10
Total Time: 00 h:53 m
Badge Earned:
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Learn how to program GPUs with Libraries in C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 40
Total Time: 04 h:09 m
Badge Earned:
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Learn how to program GPUs with CUDA C/C++. With millions of GPU compute enabled GPUs sold to date, software developers, scientists and researchers are finding broad-ranging uses for GPU computing - Learn More

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Total Labs: 3
Total Lab Credits: 45
Total Time: 04 h:39 m
Badge Earned:
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OpenACC is an accelerator programming standard that enables scientific and technical Fortran, C and (increasingly) C++ programmers to easily take advantage of the power of heterogeneous CPU/accelerator systems. OpenACC allows programmers to use simple compiler directives to identify which areas of code to accelerate, without requiring modification to the underlying code itself. By identifying parallel code segments, OpenACC directives allow the compiler to do the detailed work of mapping the computation onto the accelerator.

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Total Labs: 2
Total Lab Credits: 30
Total Time: 03 h:06 m
Badge Earned:
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qwikLABS + Quests 101

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Partners can create, manage and run labs anytime. Labs are delivered via the public cloud to classrooms, events or online; anywhere there is access to the Internet. qwikLABS® is used by lab creators, instructors/trainers, administrators, coordinators and students around the world.

qwikLABS® can integrate with other software elements of most organization’s infrastructure, including their learning management system and/or the student information system.


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Join NVIDIA’s deep learning experts for a free online course. This introductory course is comprised of five instructor-led classes that include interactive lectures, hands-on exercises, and office hours with the instructors.

You’ll learn everything you need to design, train and integrate neural network-powered artificial intelligence into your applications with widely-used open source frameworks and NVIDIA software. During the hands-on exercises, you will use GPUs and deep learning software in the cloud. Visit NVIDIA Developer Website for more details.

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Try a GPU Programming Lab for FREE!

There are a number of free labs available to help you get started with GPU programming in minutes. Choose from the available free labs by clicking on the “View Free Labs” link below.

Available anywhere, anytime. Online self-paced labs give you freedom to take training on-demand and learn at your own pace. Try one today!


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