Free Online GPU 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

DeepLearning.AI

Custom and Distributed Training with TensorFlow (Coursera)

Data Science

Dive into Custom and Distributed Training with TensorFlow, a comprehensive course designed to equip you with advanced skills in building, optimizing, and scaling machine learning models. From understanding Tensor objects and eager vs graph modes to creating custom training loops and leveraging distributed training strategies for faster processing and larger model capabilities, this course offers a hands-on approach to mastering TensorFlow's powerful features.

Jun 1st 2026

4 Weeks

Machine Learning GPU Gradient

Coursera

Princeton University

Computer Architecture (Coursera)

Engineering Eng: Electronics

Explore the intricate world of computer architecture with this free online course designed to equip you with the expertise needed to design modern microprocessors. Dive into the fundamentals and complexities of creating efficient, high-performance computing systems without any financial commitment.

May 25th 2026

5-12 Weeks

Parallel Programming Computer Architecture Microprocessors

Using GPUs to Scale and Speed-up Deep Learning (edX)

EdX

IBM

Using GPUs to Scale and Speed-up Deep Learning (edX)

Statistics & Data Analysis Data Science

Master the art of using powerful GPUs to accelerate and scale your deep learning projects. This course will teach you how to leverage accelerated hardware to significantly reduce training times, enabling faster development and deployment of complex deep learning models.

No sessions available

5-12 Weeks

GPU TensorFlow Deep Learning