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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


  • Status: New
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    EDUCBA

    Apply Modern OpenGL for Real-Time Graphics Programming

    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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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    Coursera

    Deep Learning Engineering

    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

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    Coursera

    Blueprint to Bytecode: Architecting Scalable AI Systems

    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

  • Status: Preview
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    Coursera

    OpenCL Programming

    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

  • Status: Free Trial
    Free Trial
    I

    IBM

    Deep Learning with PyTorch

    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

    4.6
    Rating, 4.6 out of 5 stars
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    102 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Coursera

    Scale Kubernetes: Optimize Your Systems

    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

  • Status: New
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    Coursera

    Understanding Open AI Workspaces

    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

  • Status: Preview
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    Arm

    Optimizing Generative AI on Arm Processors

    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

  • Status: Free Trial
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    Duke University

    Open Source LLMOps Solutions

    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

    4.8
    Rating, 4.8 out of 5 stars
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    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Duke University

    Operationalizing LLMs on Azure

    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

    4.2
    Rating, 4.2 out of 5 stars
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    53 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Fine-Tune & Optimize Generative AI Models

    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

  • Status: Free Trial
    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, 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

    3.6
    Rating, 3.6 out of 5 stars
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    58 reviews

    Advanced · Course · 1 - 3 Months

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

  • Apply Modern OpenGL for Real-Time Graphics Programming: EDUCBA
  • Deep Learning Engineering: Coursera
  • Blueprint to Bytecode: Architecting Scalable AI Systems: Coursera
  • OpenCL Programming: Coursera
  • Deep Learning with PyTorch: IBM
  • Scale Kubernetes: Optimize Your Systems: Coursera
  • Understanding Open AI Workspaces: Coursera
  • Optimizing Generative AI on Arm Processors: Arm
  • Open Source LLMOps Solutions: Duke University
  • Operationalizing LLMs on Azure: Duke University

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Object-oriented Programming (13)
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