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Generative Adversarial Networks Courses

Generative Adversarial Networks courses can help you learn the principles of GAN architecture, training techniques, and evaluation metrics. You can build skills in image synthesis, data augmentation, and anomaly detection. Many courses introduce tools like TensorFlow and PyTorch, that support implementing GANs and experimenting with various models.


Popular Generative Adversarial Networks Courses and Certifications


  • Status: Free Trial
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    Alberta Machine Intelligence Institute

    Hands-On with GenAI Tools and Technologies

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, LLM Application, AI powered creativity, AI literacy, AI Workflows, AI Integrations, Model Deployment, Model Evaluation

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing, Image Quality, Model Training

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Coursera

    Interactive and Immersive Experiences with Generative AI

    Skills you'll gain: AI Personalization, AI powered creativity, Generative AI, Virtual Environment, Augmented and Virtual Reality (AR/VR), Virtual Reality, Storytelling, Game Design, Interactive Design, Media Production

    4.9
    Rating, 4.9 out of 5 stars
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    7 reviews

    Intermediate · Course · 1 - 4 Weeks

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    CertNexus

    GenAIBIZ: Making Generative AI Work for Your Business

    Skills you'll gain: Generative Model Architectures, Generative AI, AI Product Strategy, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Data Strategy, Data Ethics, Artificial Neural Networks, Process Improvement, Process Improvement and Optimization, Cloud Computing, Operational Efficiency, Process Optimization, Big Data, Customer Service, Natural Language Processing, User Experience, Marketing

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    AI for Cybersecurity

    Skills you'll gain: Generative Adversarial Networks (GANs), Anomaly Detection, AI Security, Fraud detection, Model Evaluation, Malware Protection, Cybersecurity, Threat Detection, Feature Engineering, Network Analysis, Cyber Attacks, Cyber Security Strategy, Classification Algorithms, Email Security, Network Security, Jupyter, Authentications, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence

    4.3
    Rating, 4.3 out of 5 stars
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    127 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    Generative AI and LLMs: Architecture and Data Preparation

    Skills you'll gain: Large Language Modeling, Generative AI, Generative Model Architectures, LLM Application, Generative Adversarial Networks (GANs), Hugging Face, Data Pipelines, PyTorch (Machine Learning Library), Natural Language Processing, Data Preprocessing, Model Training, Recurrent Neural Networks (RNNs)

    4.7
    Rating, 4.7 out of 5 stars
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    423 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Johns Hopkins University

    Foundations of Neural Networks

    Skills you'll gain: Responsible AI, Autoencoders, Model Training, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Data Ethics, Model Optimization, Deep Learning, Artificial Neural Networks, Reinforcement Learning, Generative AI, Generative Adversarial Networks (GANs), Machine Learning Algorithms, Model Deployment, Generative Model Architectures, Debugging, Machine Learning Methods, Artificial Intelligence, Image Analysis, Unsupervised Learning

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    Packt

    Generative AI, LLMs, and Advanced Applications with Python

    Skills you'll gain: Retrieval-Augmented Generation, OpenAI API, Generative AI, LLM Application, Large Language Modeling, Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, ChatGPT, OpenAI, Generative AI Agents, Hugging Face, Artificial Intelligence and Machine Learning (AI/ML), Autoencoders, Applied Machine Learning, Application Programming Interface (API), Model Evaluation

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
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    Johns Hopkins University

    Securing AI and Advanced Topics

    Skills you'll gain: Generative Adversarial Networks (GANs), AI Security, Fraud detection, Model Evaluation, Feature Engineering, Cybersecurity, Cyber Security Strategy, Reinforcement Learning, Model Optimization, Data Synthesis

    4.4
    Rating, 4.4 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Generative AI, Model Training, Deep Learning, Image Analysis, Machine Learning Methods, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Generative Model Architectures, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
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    25 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Deep Learning for Computer Vision

    Skills you'll gain: Autoencoders, Convolutional Neural Networks, Generative Adversarial Networks (GANs), Generative Model Architectures, Model Deployment, Model Training, Unsupervised Learning, Dimensionality Reduction, Classification Algorithms

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
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    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Packt

    Advanced PyTorch Techniques and Applications

    Skills you'll gain: PyTorch (Machine Learning Library), Natural Language Processing, Generative Adversarial Networks (GANs), Vision Transformer (ViT), Deep Learning, Generative Model Architectures, Graph Theory, Dimensionality Reduction, Network Model, Unsupervised Learning, Model Optimization, Embeddings, Artificial Neural Networks, Machine Learning Methods, Supervised Learning, Model Evaluation, Model Training, Model Deployment, Flask (Web Framework)

    4.5
    Rating, 4.5 out of 5 stars
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    27 reviews

    Intermediate · Course · 1 - 3 Months

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In summary, here are 10 of our most popular generative adversarial networks courses

  • Hands-On with GenAI Tools and Technologies: Alberta Machine Intelligence Institute
  • Programming Generative AI: Unit 2: Pearson
  • Interactive and Immersive Experiences with Generative AI: Coursera
  • GenAIBIZ: Making Generative AI Work for Your Business: CertNexus
  • AI for Cybersecurity: Johns Hopkins University
  • Generative AI and LLMs: Architecture and Data Preparation: IBM
  • Foundations of Neural Networks: Johns Hopkins University
  • Generative AI, LLMs, and Advanced Applications with Python: Packt
  • Securing AI and Advanced Topics: Johns Hopkins University
  • Introduction to Machine Learning with Python: Arizona State University

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