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.

Skills you'll gain: Development Environment, Computer Graphics, Graphics Software, Cross Platform Development, Computer Graphic Techniques, Video Game Development, Computer Programming Tools, Program Development, Build Tools, Software Installation, System Configuration
Beginner · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Model Deployment, Fine-tuning, PyTorch (Machine Learning Library), Model Evaluation, Model Training, Vision Transformer (ViT), Model Optimization, Transfer Learning, MLOps (Machine Learning Operations), Natural Language Processing, Debugging, Containerization, Kubernetes, Docker (Software), Distributed Computing, Performance Tuning, Tensorflow, Deep Learning, Cloud Computing, Data Pipelines
Advanced · Specialization · 1 - 3 Months

Skills you'll gain: Model Deployment, Data Cleansing, Data Transformation, Data Preprocessing, Data Storytelling, Feature Engineering, AWS SageMaker, AI Integrations, Systems Architecture, Solution Architecture, Model Optimization, Cloud Computing Architecture, Scalability, MLOps (Machine Learning Operations), System Design and Implementation, Kubernetes, Data Engineering, Cloud Infrastructure, Docker (Software), Prometheus (Software)
Intermediate · Specialization · 1 - 3 Months

Coursera
Skills you'll gain: Memory Management, Distributed Computing, C and C++, Scalability, Performance Tuning, C++ (Programming Language), System Programming, Microarchitecture, Computer Architecture, Cross Platform Development, Hardware Architecture, Computing Platforms, Application Development, Program Development, Application Frameworks, Development Environment
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Evaluation, Classification Algorithms, Logistic Regression
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Scalability, Dashboard, Kubernetes, Capacity Management, Analysis, Performance Tuning, MLOps (Machine Learning Operations), Scenario Testing, Memory Management, Continuous Monitoring
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: Generative AI, LLM Application, AI Integrations, Model Deployment, Cloud Management, Cloud Computing, Cloud API, Memory Management, Model Optimization, Package and Software Management, Python Programming, Data Persistence
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Generative Model Architectures, Generative AI, Model Deployment, Model Optimization, Large Language Modeling, Cloud Deployment, Machine Learning Software, Microarchitecture, Performance Tuning, Hardware Architecture, Computer Architecture, Computer Hardware
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Fine-tuning, Natural Language Processing, Model Deployment, Open Source Technology, Containerization, C (Programming Language), Machine Learning, Cross Platform Development
Beginner · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Large Language Modeling, LLM Application, Prompt Patterns, Prompt Engineering, Microsoft Azure, OpenAI API, Retrieval-Augmented Generation, OpenAI, Model Deployment, Risk Management Framework, MLOps (Machine Learning Operations), Embeddings, Cloud Deployment, Application Deployment, Python Programming
Intermediate · Course · 1 - 4 Weeks
Skills you'll gain: Fine-tuning, Hugging Face, LLM Application, Model Optimization, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, AI Product Strategy, Transfer Learning, Model Training, Applied Machine Learning, AI Personalization, Model Evaluation, Performance Tuning, Model Based Systems Engineering, Memory Management, Program Evaluation, Analysis, Probability Distribution
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Model Training, Amazon Web Services, Feature Engineering, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Applied Machine Learning, Machine Learning Methods, Serverless Computing, Machine Learning, Python Programming
Advanced · Course · 1 - 3 Months