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  • Nvidia

Results for "nvidia"


  • P

    Pragmatic AI Labs

    GitHub: Codespaces, Actions, and Ecosystem Tools

    Skills you'll gain: GitHub Copilot, CI/CD, Development Environment, Continuous Integration, GitHub, Cloud Development, Fine-tuning, Hugging Face, Continuous Deployment, Microsoft Copilot, Model Deployment, YAML, DevOps, Large Language Modeling, AI Workflows, AI Enablement, Containerization, Docker (Software), Python Programming, AI Personalization

    Beginner · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • J

    Johns Hopkins University

    Introduction to Parallel Programming with CUDA

    Skills you'll gain: Memory Management, Performance Tuning, System Programming, Hardware Architecture, Program Development, Computer Architecture, Performance Testing, Computer Hardware, Algorithms

    ★ 2.8 (65) · Intermediate · Course · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • C

    Coursera

    GPU Clusters & Containers

    Skills you'll gain: Model Deployment, Containerization, Application Deployment, MLOps (Machine Learning Operations), AI Orchestration, Docker (Software), Cloud Deployment, Kubernetes, Applied Machine Learning, Model Training, Distributed Computing, Cloud Computing, Scalability, Cloud Infrastructure

    Intermediate · Course · 1 - 4 Weeks

    Category: New
    New
    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

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

    ★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Fundamentals of Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Deep Learning, Generative AI, Transfer Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Tensorflow, Applied Machine Learning, Machine Learning Methods, Classification Algorithms, Model Training, Model Optimization, Machine Learning, Data Processing, Linear Algebra

    ★ 4.3 (12) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Fundamentals of NLP and Transformers

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Generative AI, Large Language Modeling, Token Optimization, Embeddings, Generative Model Architectures, Data Pipelines, Data Preprocessing, Artificial Neural Networks, Unstructured Data, Machine Learning Methods, Machine Learning, Model Evaluation

    ★ 4.7 (7) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    ★ 4.8 (1.7K) · Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Logistic Regression, Machine Learning Methods, Transfer Learning, Reinforcement Learning, Convolutional Neural Networks, Deep Learning, Image Analysis, Applied Machine Learning, Model Training, Natural Language Processing, Machine Learning, Model Optimization, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    ★ 4.7 (3.8K) · Intermediate · Course · 1 - 3 Months

    Category: Preview
    Preview
    Category: Credit offered
    Credit offered
  • W

    Whizlabs

    NVIDIA: Prompt Engineering and Data Analysis

    Skills you'll gain: Prompt Engineering, Plot (Graphics), Prompt Engineering Tools, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Model Optimization, Data Visualization Software, Fine-tuning, Unstructured Data, Data Processing, Data Analysis

    ★ 5 (6) · Intermediate · Course · 1 - 4 Weeks

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
  • G

    Google Cloud

    Encoder-Decoder Architecture

    Skills you'll gain: Model Deployment, Keras (Neural Network Library), Model Training, Tensorflow, Generative AI, Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks

    ★ 4.3 (51) · Advanced · Course · 1 - 4 Weeks

    Category: Credit offered
    Credit offered
  • D

    DeepLearning.AI

    Introduction to On-Device AI

    Skills you'll gain: Model Deployment, Cloud Deployment, Performance Testing, Android Development, Model Optimization, Model Evaluation, Image Analysis, PyTorch (Machine Learning Library), AI Integrations, Tensorflow, Hardware Architecture, Artificial Neural Networks, Artificial Intelligence

    ★ 4.4 (27) · Beginner · Project · Less Than 2 Hours

    Category: Free
    Free
    Category: Credit offered
    Credit offered
  • E

    EDUCBA

    Unreal Engine Visual FX, Materials & Interactive Systems

    Skills you'll gain: Unreal Engine, Performance Tuning, Game Design, User Interface (UI), Video Game Development, UI Components, 3D Assets, Interactive Design, User Interface (UI) Design, Simulation and Simulation Software, Animations, Virtual Environment, Simulations, Computer Graphics, User Interface and User Experience (UI/UX) Design, Computer Graphic Techniques, Animation and Game Design, Physics, Visualization (Computer Graphics), Scripting

    Intermediate · Specialization · 3 - 6 Months

    Status: Free Trial
    Free Trial
    Category: Credit offered
    Credit offered
1234…10

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

  • GitHub: Codespaces, Actions, and Ecosystem Tools: Pragmatic AI Labs
  • Introduction to Parallel Programming with CUDA: Johns Hopkins University
  • GPU Clusters & Containers: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • NVIDIA: Fundamentals of Deep Learning: Whizlabs
  • NVIDIA: Fundamentals of NLP and Transformers : Whizlabs
  • TensorFlow: Advanced Techniques: DeepLearning.AI
  • Introduction to Machine Learning: Duke University
  • NVIDIA: Prompt Engineering and Data Analysis: Whizlabs
  • Encoder-Decoder Architecture: Google Cloud

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