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  • Py Torch

Pytorch Courses

PyTorch courses can help you learn neural network design, model training, and deep learning techniques. You can build skills in data preprocessing, hyperparameter tuning, and implementing convolutional and recurrent networks. Many courses introduce tools like TensorBoard for visualization and Jupyter Notebooks for interactive coding, showcasing how these skills are applied in projects involving image recognition, natural language processing, and other areas of artificial intelligence (AI).


Popular Pytorch Courses and Certifications


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    EDUCBA

    Deep Learning: Build & Optimize Neural Networks

    Skills you'll gain: Feature Engineering, Deep Learning, PyTorch (Machine Learning Library), Image Analysis, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Jupyter, Predictive Modeling, Machine Learning, Data Processing, Data Transformation

    Mixed · Course · 1 - 3 Months

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    Northeastern University

    Applied Natural Language Processing in Engineering Part 2

    Skills you'll gain: Large Language Modeling, Natural Language Processing, PyTorch (Machine Learning Library), Artificial Neural Networks, Machine Learning Methods, Deep Learning, Applied Machine Learning, Statistical Machine Learning, Algorithms

    Mixed · Course · 1 - 3 Months

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    Board Infinity

    Transformers in Action: A Practical Approach to NLP and AI

    Skills you'll gain: Artificial Neural Networks, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

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    Pearson

    Programming Generative AI

    Skills you'll gain: Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Generative Model Architectures, Multimodal Prompts, Image Analysis, Computer Vision, Artificial Neural Networks, Natural Language Processing, Deep Learning, Prompt Engineering, Image Quality, Text Mining, Data Manipulation, Unsupervised Learning, Performance Tuning

    Intermediate · Specialization · 1 - 4 Weeks

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    Edureka

    PySpark for Data Science

    Skills you'll gain: PySpark, Data Pipelines, Data Processing, Data Visualization, Natural Language Processing, Data Analysis Expressions (DAX), Data Integration, Data Transformation, Machine Learning, Data Cleansing, Text Mining, Deep Learning

    2.7
    Rating, 2.7 out of 5 stars
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    11 reviews

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Building Generative AI-Powered Applications with Python

    Skills you'll gain: Large Language Modeling, LangChain, LLM Application, Generative AI, OpenAI, Web Applications, Application Development, Flask (Web Framework), Python Programming, Natural Language Processing, Prompt Engineering, Front-End Web Development, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
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    252 reviews

    Intermediate · Course · 1 - 3 Months

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    Packt

    Machine Learning, Data Science and Generative AI with Python

    Skills you'll gain: Apache Spark, Generative AI, LLM Application, Large Language Modeling, Predictive Modeling, Matplotlib, Keras (Neural Network Library), Generative Model Architectures, Deep Learning, ChatGPT, OpenAI, Generative AI Agents, Tensorflow, Seaborn, A/B Testing, Statistical Modeling, Data Visualization, Regression Analysis, Big Data, Machine Learning

    Intermediate · Specialization · 3 - 6 Months

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    IBM

    Generative AI for Data Scientists

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Exploratory Data Analysis, Data Ethics, ChatGPT, Feature Engineering, Predictive Modeling, AI Product Strategy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Data Science, Data Synthesis, Data Analysis, Deep Learning, Data Visualization Software, Image Quality, Machine Learning, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
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    11K reviews

    Intermediate · Specialization · 1 - 3 Months

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    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
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    176 reviews

    Intermediate · Course · 1 - 4 Weeks

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    DeepLearning.AI

    Device-based Models with TensorFlow Lite

    Skills you'll gain: iOS Development, Android Development, Tensorflow, Swift Programming, Mobile Development, Applied Machine Learning, Embedded Systems, Machine Learning Methods, Computer Vision, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    653 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Microsoft

    Perform data science with Azure Databricks

    Skills you'll gain: PySpark, Databricks, Apache Spark, MLOps (Machine Learning Operations), Microsoft Azure, Big Data, Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Processing, Deep Learning, Data Transformation, Machine Learning, Exploratory Data Analysis

    3.2
    Rating, 3.2 out of 5 stars
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    77 reviews

    Intermediate · Course · 1 - 3 Months

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    University of Glasgow

    Generative Pre-trained Transformers (GPT)

    Skills you'll gain: Large Language Modeling, ChatGPT, LLM Application, Generative AI, Generative Model Architectures, Natural Language Processing, Risk Management Framework, Prompt Engineering, Responsible AI, Data Ethics, Deep Learning, Artificial Neural Networks, Artificial Intelligence

    4.4
    Rating, 4.4 out of 5 stars
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    33 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Deep Learning: Build & Optimize Neural Networks: EDUCBA
  • Applied Natural Language Processing in Engineering Part 2: Northeastern University
  • Transformers in Action: A Practical Approach to NLP and AI: Board Infinity
  • Programming Generative AI: Pearson
  • PySpark for Data Science: Edureka
  • Building Generative AI-Powered Applications with Python: IBM
  • Machine Learning, Data Science and Generative AI with Python: Packt
  • Generative AI for Data Scientists: IBM
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Device-based Models with TensorFlow Lite: DeepLearning.AI

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