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    PyTorch Courses Online

    Master PyTorch for deep learning. Learn to build and train neural networks using PyTorch for various AI applications.

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    Explore the PyTorch Course Catalog

    • Status: Free Trial
      Free Trial
      P

      Packt

      Introduction to RNN and DNN

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Machine Learning, Predictive Modeling, Natural Language Processing, Python Programming, Network Architecture, Data Science

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Machine Learning – Modern Computer Vision & Generative AI

      Skills you'll gain: Test Driven Development (TDD), Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Keras (Neural Network Library), Machine Learning, Supervised Learning, Python Programming, Development Environment, Jupyter, NumPy, Software Installation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of ML & Python for Data Science

      Skills you'll gain: Data Manipulation, Python Programming, Probability & Statistics, Pandas (Python Package), Statistics, Data Science, Statistical Analysis, NumPy, Machine Learning, Descriptive Statistics, Statistical Inference, Programming Principles, Probability

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Harnessing Open Source LLMs and ChatGPT with Minimal Code

      Skills you'll gain: ChatGPT, OpenAI, Large Language Modeling, Prompt Engineering, Application Deployment, Application Programming Interface (API), Generative AI, Python Programming, Software Installation, Open Source Technology, Live Streaming, Development Environment, Data Science

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Advanced Deep Learning Techniques for Computer Vision

      Skills you'll gain: Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, Application Deployment, PyTorch (Machine Learning Library), Data Synthesis, Medical Imaging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Machine Learning with PySpark

      Skills you'll gain: PySpark, Apache Spark, Unsupervised Learning, Data Processing, Distributed Computing, Big Data, Feature Engineering, Machine Learning, Machine Learning Algorithms, Supervised Learning, Scalability, Regression Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Data Streaming and NLP with PySpark

      Skills you'll gain: PySpark, Data Pipelines, Apache Spark, Data Processing, Real Time Data, Data Visualization, Natural Language Processing, Data Engineering, Distributed Computing, Text Mining, Deep Learning, Scalability, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

      Skills you'll gain: Google Cloud Platform, Tensorflow, Kubernetes, Scalability, Application Deployment, Image Analysis, Cloud Computing, MLOps (Machine Learning Operations), System Monitoring, Cloud Management, Cloud Storage, Data Management

      Intermediate · Project · Less Than 2 Hours

    • G

      Google Cloud

      Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh

      Skills you'll gain: Cloud Computing, Istio, Tensorflow, Google Cloud Platform, MLOps (Machine Learning Operations), Kubernetes, Application Deployment, Continuous Deployment, Microservices, Load Balancing

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, PyTorch (Machine Learning Library), Artificial Neural Networks, Tensorflow, Machine Learning Methods, Machine Learning, Supervised Learning, Data Processing, Network Model, Linear Algebra, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Applied Generative AI & NLP with Python

      Skills you'll gain: Prompt Engineering, Generative AI, Natural Language Processing, OpenAI, Databases, Feature Engineering, Python Programming, Artificial Intelligence, Database Management, Performance Tuning, Artificial Neural Networks, Application Programming Interface (API), Deep Learning

      Intermediate · Course · 3 - 6 Months

    • G

      Google Cloud

      Using Beam ML to catch Toxicity in Gaming

      Skills you'll gain: Real Time Data, Scalability, Data Pipelines, Applied Machine Learning, MLOps (Machine Learning Operations), Machine Learning

      Intermediate · Project · Less Than 2 Hours

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

    • Introduction to RNN and DNN: Packt
    • Machine Learning – Modern Computer Vision & Generative AI: Packt
    • Foundations of ML & Python for Data Science: Packt
    • Harnessing Open Source LLMs and ChatGPT with Minimal Code: Packt
    • Advanced Deep Learning Techniques for Computer Vision: MathWorks
    • Machine Learning with PySpark: Edureka
    • Data Streaming and NLP with PySpark: Edureka
    • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
    • Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh: Google Cloud
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs

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