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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


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    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Data Visualization, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Data Visualization Software, Data Analysis, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

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    Google Cloud

    Introduction to Generative AI Studio - 简体中文

    Skills you'll gain: Prompt Engineering, Google Gemini, Multimodal Prompts, Generative AI, Application Lifecycle Management, Prototyping, LLM Application, Google Cloud Platform, Model Deployment, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    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

  • Status: New
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    Whizlabs

    AWS: Model Training , Optimization & Deployment

    Skills you'll gain: Model Deployment, Cloud Deployment, Amazon Elastic Compute Cloud, Model Evaluation, Continuous Deployment, Continuous Integration, Debugging

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Universitat Autònoma de Barcelona

    Motores gráficos en videojuegos: game engine

    Skills you'll gain: Video Game Development, Computer Graphics, 3D Assets, Microsoft Visual Studio, C++ (Programming Language), Artificial Intelligence, User Interface (UI), Animations, Application Development

    3.9
    Rating, 3.9 out of 5 stars
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    105 reviews

    Mixed · Course · 1 - 4 Weeks

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    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

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    Google Cloud

    APIs Explorer: Compute Engine

    Skills you'll gain: Virtual Machines, Google Cloud Platform, Cloud Management, Cloud Computing, Virtualization and Virtual Machines, Cloud API, Infrastructure As A Service (IaaS), Cloud Services, System Monitoring

    Beginner · Project · Less Than 2 Hours

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    Google Cloud

    Identify Horses or Humans with TensorFlow and Vertex AI

    Skills you'll gain: Convolutional Neural Networks, Tensorflow, Image Analysis, Google Cloud Platform, Model Deployment, Computer Vision, Data Preprocessing, Applied Machine Learning, Data Collection, Software Visualization

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
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    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

    3.7
    Rating, 3.7 out of 5 stars
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    53 reviews

    Advanced · Course · 1 - 3 Months

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    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Artificial Neural Networks, Data Ethics, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
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    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    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

  • Status: Free Trial
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    University of Colorado Boulder

    FPGA Softcore Processors and IP Acquisition

    Skills you'll gain: Integrated Development Environments, Computer Architecture, Hardware Architecture, Software Development, Embedded Systems, Debugging, Verification And Validation, System Design and Implementation, Simulations, System Configuration

    3.9
    Rating, 3.9 out of 5 stars
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    97 reviews

    Intermediate · Course · 1 - 4 Weeks

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1…789…10

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

  • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
  • Introduction to Generative AI Studio - 简体中文: Google Cloud
  • Programming Generative AI: Unit 1: Pearson
  • AWS: Model Training , Optimization & Deployment: Whizlabs
  • Motores gráficos en videojuegos: game engine: Universitat Autònoma de Barcelona
  • Introduction to Convolutions with TensorFlow: Google Cloud
  • APIs Explorer: Compute Engine: Google Cloud
  • Identify Horses or Humans with TensorFlow and Vertex AI: Google Cloud
  • MLOps Platforms: Amazon SageMaker and Azure ML: Duke University
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI

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