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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

      Advanced Machine Learning and Deep Learning

      Skills you'll gain: Deep Learning, Shiny (R Package), Applied Machine Learning, Image Analysis, PyTorch (Machine Learning Library), Predictive Modeling, Artificial Neural Networks, Machine Learning Methods, Statistical Machine Learning, Tensorflow, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Regression Analysis, Dimensionality Reduction, Unsupervised Learning, Interactive Data Visualization, Time Series Analysis and Forecasting, Data Processing

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Orchestrating a TFX Pipeline with Airflow

      Skills you'll gain: Apache Airflow, Tensorflow, MLOps (Machine Learning Operations), Google Cloud Platform, Data Pipelines, Machine Learning Methods, Applied Machine Learning

      1.3
      Rating, 1.3 out of 5 stars
      ·
      6 reviews

      Beginner · Project · Less Than 2 Hours

    • G

      Google Cloud

      Machine Learning with Spark on Google Cloud Dataproc

      Skills you'll gain: Apache Spark, Google Cloud Platform, Predictive Modeling, Big Data, Applied Machine Learning, Cloud Computing, Statistical Modeling

      Intermediate · Project · Less Than 2 Hours

    • 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

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      P

      Packt

      Applied Generative AI & NLP with Python

      Skills you'll gain: Prompt Engineering, Natural Language Processing, Generative AI, Large Language Modeling, OpenAI, Text Mining, Artificial Intelligence, Python Programming, Feature Engineering, Data Processing, Deep Learning, Databases, Applied Machine Learning

      Intermediate · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Applied Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Computer Vision, Machine Learning Algorithms, Applied Machine Learning, Image Analysis, Dimensionality Reduction, Supervised Learning, Reinforcement Learning, Feature Engineering, Regression Analysis, Data Cleansing, Machine Learning, Data Mining, Scikit Learn (Machine Learning Library), Statistical Machine Learning, Advanced Analytics, Deep Learning, Artificial Neural Networks, Decision Tree Learning

      3.6
      Rating, 3.6 out of 5 stars
      ·
      9 reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Running Distributed TensorFlow using Vertex AI

      Skills you'll gain: Tensorflow, Google Cloud Platform, Image Analysis, Applied Machine Learning, MLOps (Machine Learning Operations), Cloud Computing, Distributed Computing

      Intermediate · Project · Less Than 2 Hours

    • U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Computer Programming Tools, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      88 reviews

      Intermediate · Course · 1 - 3 Months

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

      Whizlabs

      NVIDIA: Large Language Models and Generative AI Deployment

      Skills you'll gain: Large Language Modeling, Generative AI, PyTorch (Machine Learning Library), Natural Language Processing, Prompt Engineering, Deep Learning, MLOps (Machine Learning Operations), Application Deployment, Tensorflow, Machine Learning Methods, System Monitoring, Continuous Monitoring, Data Cleansing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

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

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Applied Machine Learning, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Classify Images with TensorFlow Convolutional Neural Networks

      Skills you'll gain: Tensorflow, Data Collection, Image Analysis, Artificial Neural Networks, Deep Learning, Computer Vision, Google Cloud Platform, Visualization (Computer Graphics)

      Beginner · Project · Less Than 2 Hours

    • C

      Coursera Project Network

      PySpark Foundations: Process, analyze, and summarize data

      Skills you'll gain: PySpark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

      Intermediate · Guided Project · Less Than 2 Hours

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

    • Advanced Machine Learning and Deep Learning: Packt
    • Orchestrating a TFX Pipeline with Airflow: Google Cloud
    • Machine Learning with Spark on Google Cloud Dataproc: Google Cloud
    • Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes: Google Cloud
    • Applied Generative AI & NLP with Python: Packt
    • Applied Machine Learning: Johns Hopkins University
    • Running Distributed TensorFlow using Vertex AI: Google Cloud
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder
    • NVIDIA: Large Language Models and Generative AI Deployment: Whizlabs
    • Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs: Whizlabs

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