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  • Gpu

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


  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Classification Algorithms, Machine Learning, Supervised Learning, Data Processing, Linear Algebra

    4.4
    Rating, 4.4 out of 5 stars
    ·
    9 reviews

    Intermediate · Course · 1 - 4 Weeks

  • D

    Duke University

    Open Source LLMOps Solutions

    Skills you'll gain: LLM Application, Hugging Face, Large Language Modeling, Natural Language Processing, Model Deployment, Open Source Technology, Prompt Engineering, Containerization, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14 reviews

    Mixed · Course · 1 - 4 Weeks

  • P

    Packt

    Deep Learning - Computer Vision for Beginners Using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Computer Vision, NumPy, Matplotlib, Convolutional Neural Networks, Deep Learning, Pandas (Python Package), Image Analysis, Python Programming, Artificial Neural Networks, Data Manipulation

    Intermediate · Course · 1 - 3 Months

  • W

    Whizlabs

    NVIDIA: Large Language Models and Generative AI Deployment

    Skills you'll gain: Large Language Modeling, Generative AI, Model Deployment, Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Model Evaluation, Continuous Monitoring, Data Cleansing, Machine Learning

    4
    Rating, 4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    FPGA computing systems: A Bird’s Eye View

    Skills you'll gain: System Configuration, System Design and Implementation, Computer Architecture, Hardware Architecture, Computer Hardware, Embedded Systems, Automation, Computational Logic, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    37 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Automate Cloud Workflows with Python Scripting

    Skills you'll gain: Infrastructure as Code (IaC), Scripting, Cloud Deployment, Data Persistence, Python Programming, Command-Line Interface, Virtual Machines, Data Pipelines

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Embeddings, Transfer Learning, Data Preprocessing, Data Pipelines, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Fine-Tune & Optimize Generative AI Models

    Skills you'll gain: Hugging Face, Large Language Modeling, MLOps (Machine Learning Operations), Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AI Product Strategy, Transfer Learning, Applied Machine Learning, AI Personalization, Model Deployment, Model Evaluation, Responsible AI, Performance Tuning, Model Based Systems Engineering, Program Evaluation, Analysis

    Intermediate · Course · 1 - 4 Weeks

  • W

    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

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    Indian Institute of Technology Guwahati

    Computer Aided Design

    Skills you'll gain: SolidWorks (CAD), Computer-Aided Design, Computer Graphics, 3D Modeling, Mechanical Design, Engineering Drawings, Visualization (Computer Graphics), Prototyping, Animations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

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

  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • Open Source LLMOps Solutions: Duke University
  • Unity: Design & Implement Advanced Rendering Effects: EDUCBA
  • Deep Learning - Computer Vision for Beginners Using PyTorch: Packt
  • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
  • FPGA computing systems: A Bird’s Eye View: Politecnico di Milano
  • Automate Cloud Workflows with Python Scripting: Coursera
  • Hacking and Patching: University of Colorado System
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • Fine-Tune & Optimize Generative AI Models: Coursera

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