NVIDIA DLI is now offering free, virtual academia workshops to provide hands-on experience in the areas of deep learning, accelerated computing, and accelerated data science. Achieving a certificate in these workshops supports your career growth and is quickly becoming recognized by employers in industry and academia. 

On the page it says “Student workshops”, but anyone from Academia can join.

On April 19th we will hold the following workshop:

Fundamentals of Accelerated Computing with CUDA Python

This workshop teaches you the fundamental tools and techniques for running GPU-accelerated Python applications using CUDA® GPUs and the Numba compiler.

Learning Objectives

At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerated Python applications with CUDA and Numba:

• GPU-accelerate NumPy ufuncs with a few lines of code.
• Configure code parallelization using the CUDA thread hierarchy.
• Write custom CUDA device kernels for maximum performance and flexibility.
• Use memory coalescing and on-device shared memory to increase CUDA kernel bandwidth.