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GPU Courses

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.


Popular GPU Courses and Certifications


  • E

    EDUCBA

    3D Graphics with DirectX: Apply & Integrate

    Skills you'll gain: Computer Graphics, 3D Assets, Visualization (Computer Graphics), Computer Graphic Techniques, Data Structures, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    CUDA Advanced Libraries

    Skills you'll gain: Artificial Neural Networks, Deep Learning, Convolutional Neural Networks, Image Analysis, Linear Algebra, Mathematical Software, Numerical Analysis, Machine Learning, Digital Signal Processing, Data Processing, Data Structures, Data Transformation, Algorithms, Data Science

    3.1
    Rating, 3.1 out of 5 stars
    ·
    21 reviews

    Intermediate · Course · 1 - 3 Months

  • U

    University of Colorado System

    Hacking and Patching

    Skills you'll gain: Penetration Testing, Application Security, Secure Coding, Exploitation techniques, Software Design Patterns, Vulnerability Assessments, Amazon Web Services, SQL, Operating Systems, C (Programming Language)

    4
    Rating, 4 out of 5 stars
    ·
    279 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Pearson

    Programming Generative AI: Unit 1

    Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Artificial Neural Networks, Deep Learning, Large Language Modeling, Tensorflow, Convolutional Neural Networks

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    MLOps Platforms: Amazon SageMaker and Azure ML

    Skills you'll gain: AWS SageMaker, MLOps (Machine Learning Operations), Microsoft Azure, Model Deployment, Exploratory Data Analysis, Data Pipelines, Amazon Web Services, Feature Engineering, Cloud Solutions, Model Evaluation, Data Preprocessing, Cloud Deployment, Data Analysis, Serverless Computing, Machine Learning, Python Programming

    3.5
    Rating, 3.5 out of 5 stars
    ·
    56 reviews

    Advanced · Course · 1 - 3 Months

  • A

    Arm

    Optimizing Generative AI on Arm Processors

    Skills you'll gain: Generative AI, Model Deployment, Large Language Modeling, Transfer Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Cloud Deployment, Performance Tuning, Hardware Architecture, Deep Learning, Embedded Systems, Computer Hardware, Scalability

    Intermediate · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    CUDA at Scale for the Enterprise

    Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, C and C++, Distributed Computing, Computer Graphics, System Programming, Program Development, Performance Tuning, Data Structures, Algorithms

    3.3
    Rating, 3.3 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Local LLMs with llamafile

    Skills you'll gain: LLM Application, Model Deployment, Real Time Data, Large Language Modeling, Application Deployment, System Monitoring, Cross Platform Development, Application Programming Interface (API), Machine Learning

    2.7
    Rating, 2.7 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • B

    Birla Institute of Technology & Science, Pilani

    Multicore and GPGPU Programming

    Skills you'll gain: Program Development, Distributed Computing, Performance Testing, Algorithms, Computer Hardware, C (Programming Language)

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Introduction to Convolutions with TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Computer Vision, NumPy, Data Processing, Feature Engineering, Google Cloud Platform, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • D

    DeepLearning.AI

    Custom and Distributed Training with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Distributed Computing, Performance Tuning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    438 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Advanced Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Transfer Learning, Artificial Neural Networks, Keras (Neural Network Library), Image Analysis, Convolutional Neural Networks, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Data Preprocessing, Embeddings, Network Architecture, Matplotlib, Jupyter, NumPy

    Advanced · Course · 3 - 6 Months

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In summary, here are 10 of our most popular gpu courses

  • 3D Graphics with DirectX: Apply & Integrate: EDUCBA
  • CUDA Advanced Libraries: Johns Hopkins University
  • Hacking and Patching: University of Colorado System
  • Programming Generative AI: Unit 1: Pearson
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Optimizing Generative AI on Arm Processors: Arm
  • CUDA at Scale for the Enterprise: Johns Hopkins University
  • Local LLMs with llamafile: Duke University
  • Multicore and GPGPU Programming: Birla Institute of Technology & Science, Pilani
  • Introduction to Convolutions with TensorFlow: Google Cloud

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