GPU courses can help you learn parallel computing, graphics rendering, machine learning applications, and deep learning techniques. You can build skills in optimizing algorithms, enhancing computational efficiency, and utilizing frameworks for AI development. Many courses introduce tools like TensorFlow, CUDA, and PyTorch, that support implementing GPU-accelerated applications and conducting data analysis.

International Institute of Information Technology, Hyderabad
Skills you'll gain: System Programming, Performance Tuning, C (Programming Language), Computational Logic, Numerical Analysis, Algorithms, Debugging
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Responsible AI, Generative AI, Large Language Modeling, Artificial Intelligence, PyTorch (Machine Learning Library), MLOps (Machine Learning Operations), Tensorflow, Information Privacy, Machine Learning, A/B Testing, Deep Learning, Version Control, Performance Tuning, Scalability
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, Cloud Computing, Distributed Computing
Intermediate · Project · Less Than 2 Hours

Skills you'll gain: Generative AI, Continuous Monitoring, Responsible AI, Google Cloud Platform, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning Methods, Predictive Modeling, System Monitoring, Data Quality
Intermediate · Course · 1 - 4 Weeks

Google Cloud
Skills you'll gain: Generative AI, Generative Model Architectures, Visualization (Computer Graphics), Google Cloud Platform, Data Ethics, Applied Machine Learning, Responsible AI, Machine Learning Methods
Beginner · Course · 1 - 4 Weeks