Free Online CUDA Courses & MOOCs

Coursera

Johns Hopkins University

CUDA at Scale for the Enterprise (Coursera)

CS: Software Engineering

Dive into 'CUDA at Scale for the Enterprise' and master the art of leveraging GPU power beyond consumer-grade installations. This course is designed for professionals looking to scale their use of CUDA technology within enterprise applications. Learn how to implement asynchronous workflows, manage data transfers with events, and apply GPUs to sorting algorithms and image processing tasks.

Jun 8th 2026

5-12 Weeks

GPU Image Processing CPU

Coursera

Johns Hopkins University

CUDA Advanced Libraries (Coursera)

Computer Science

Complete your GPU specialization with this comprehensive course on CUDA Advanced Libraries. Dive into leading GPU computation tools like CuFFT, linear algebra libraries, Thrust, cuDNN, and cuTensor. Perfect for developers looking to optimize their mathematical computations and build sophisticated machine learning models.

Jun 8th 2026

5-12 Weeks

Machine Learning GPU CUDA

Coursera

Johns Hopkins University

Introduction to Parallel Programming with CUDA (Coursera)

CS: Software Engineering CS: Programming

Dive into the world of parallel computing and unlock the potential of GPUs with 'Introduction to Parallel Programming with CUDA'. This course is designed for those eager to learn how to develop high-performance applications using NVIDIA's powerful CUDA platform. Whether you're a student or a professional looking to enhance your data processing skills, this course will equip you with the knowledge needed to implement parallel programming solutions that can handle large datasets and complex computations.

Jun 8th 2026

5-12 Weeks

Parallel Programming GPU CUDA

Coursera

Johns Hopkins University

Introduction to Concurrent Programming with GPUs (Coursera)

CS: Software Engineering CS: Programming

Dive into the world of concurrent programming and unlock the potential of GPU computing with this comprehensive course. Gain expertise in handling large datasets through parallel processing techniques, understanding CPU and GPU architectures, and mastering multithreading in both C and Python. Learn the basics of CUDA to start leveraging powerful GPUs for your applications.

Jun 8th 2026

4 Weeks

Programming Python Parallel Programming

Coursera

Intel Corporation

Introduction to OpenCL on FPGAs (Coursera)

CS: Software Engineering Computer Science

Dive into the world of parallel programming with 'Introduction to OpenCL on FPGAs'. This course will guide you through understanding and applying OpenCL™, a standard for heterogeneous systems like NVidia* CUDA*. You'll explore platform, execution, memory, and programming models, and learn how to synthesize custom logic using OpenCL constructs.

Mar 4th 2024

5-12 Weeks

Parallel Computing Software Development FPGA

Udacity

Georgia Institute of Technology,Udacity

High Performance Computing (Udacity)

Computer Science

Discover the secrets to optimizing complex computational tasks with our High Performance Computing (HPC) course. Designed for those new to the field, this course provides a solid foundation in developing, analyzing, and implementing parallel algorithms. Gain practical experience working on modern HPC systems such as CUDA, OpenMP, MPI, and more.

Self Paced

Self-Paced

Algorithms OpenMP MPI