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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.


More to explore:

Popular GPU Courses and Certifications


  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Apply Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Responsible AI, Data Ethics, Unsupervised Learning, Information Privacy, Data Synthesis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    547 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Deep Learning with Keras and Practical Applications

    Skills you'll gain: Exploratory Data Analysis, Model Deployment, Keras (Neural Network Library), Transfer Learning, Data Analysis, Data Preprocessing, Image Analysis, Deep Learning, Classification Algorithms, Applied Machine Learning, Computer Vision, Model Evaluation, Machine Learning, Performance Tuning

    Intermediate · Course · 3 - 6 Months

  • G

    Google Cloud

    Generative AI with Vertex AI: Prompt Design

    Skills you'll gain: Prompt Engineering, Generative AI, Google Cloud Platform, LLM Application, Large Language Modeling, Cloud Computing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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

  • G

    Google Cloud

    Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    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

  • 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

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Unity Shader Programming: Create & Optimize

    Skills you'll gain: Unity Engine, Computer Graphics, Computer Graphic Techniques, Visualization (Computer Graphics), Augmented and Virtual Reality (AR/VR), Animations, Video Game Development, Performance Tuning, Image Quality, Debugging

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Unity: Design & Implement Advanced Rendering Effects

    Skills you'll gain: Unity Engine, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C# (Programming Language), Linear Algebra, Scripting

    4.8
    Rating, 4.8 out of 5 stars
    ·
    13 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    DirectX: Implement & Optimize 3D Rendering

    Skills you'll gain: Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, C++ (Programming Language), Mathematical Theory & Analysis, Applied Mathematics, Algebra

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Unreal Engine: Design Dynamic Particle Effects for Games

    Skills you'll gain: Unreal Engine, Animations, Animation and Game Design, 3D Assets, Video Game Development, Computer Graphics

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

    3.6
    Rating, 3.6 out of 5 stars
    ·
    54 reviews

    Advanced · Course · 1 - 3 Months

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

  • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
  • Deep Learning with Keras and Practical Applications: Packt
  • Generative AI with Vertex AI: Prompt Design: Google Cloud
  • Advanced Generative Adversarial Networks (GANs): Packt
  • Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster: Google Cloud
  • Custom and Distributed Training with TensorFlow: DeepLearning.AI
  • Local LLMs with llamafile: Duke University
  • Unity Shader Programming: Create & Optimize: EDUCBA
  • Unity: Design & Implement Advanced Rendering Effects: EDUCBA
  • DirectX: Implement & Optimize 3D Rendering: EDUCBA

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