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  • Deep Reinforcement Learning

Deep Reinforcement Learning Courses

Deep Reinforcement Learning courses can help you learn the principles of reinforcement learning, neural networks, and policy gradients. You can build skills in algorithm design, reward optimization, and environment simulation. Many courses introduce tools like TensorFlow and PyTorch, that support implementing AI models, along with techniques for training agents in complex environments.


Popular Deep Reinforcement Learning Courses and Certifications


  • Status: New
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    Packt

    Foundations of Deep Reinforcement Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Deep Learning, Machine Learning Methods, Artificial Neural Networks, Model Training, Machine Learning, Machine Learning Algorithms, Model Optimization, Python Programming, Algorithms, Model Evaluation

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    Edureka

    Advanced Deep Learning Architectures

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Computer Vision, Image Analysis, Model Evaluation, Convolutional Neural Networks, Autoencoders, Model Optimization, Vision Transformer (ViT), Artificial Neural Networks, Model Deployment, Model Training, Deep Learning, Recurrent Neural Networks (RNNs), Embeddings, Machine Learning Methods, PyTorch (Machine Learning Library), AI Enablement, Artificial Intelligence

    Advanced · Specialization · 1 - 3 Months

  • Status: New
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    Packt

    Advanced Deep RL Algorithms and Applications

    Skills you'll gain: Reinforcement Learning, Deep Learning, Model Optimization, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Machine Learning, Model Training, Applied Machine Learning, Natural Language Processing, Performance Tuning

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Convolutional Neural Networks, Reinforcement Learning, Model Optimization, Autoencoders, Generative AI, Artificial Neural Networks, Transfer Learning, Unsupervised Learning, Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Fine-tuning, Generative Model Architectures, Applied Machine Learning, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Logistic Regression

    4.5
    Rating, 4.5 out of 5 stars
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    4.2K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
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    Board Infinity

    Deep Learning: Train Neural Networks and Deploy with Docker

    Skills you'll gain: Model Deployment, Model Training, Deep Learning, PyTorch (Machine Learning Library), Scalability, Docker (Software), Application Deployment, Containerization, Model Evaluation, Artificial Neural Networks, Tensorflow, Network Model, Network Architecture, Configuration Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Model Training, Fine-tuning, Deep Learning, Generative AI, Artificial Neural Networks, Applied Machine Learning, Data Preprocessing, Matlab, Software Visualization, Classification Algorithms, Model Optimization, Predictive Modeling, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
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    35 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
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    DeepLearning.AI

    Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Computer Vision, Transfer Learning, Deep Learning, Image Analysis, Model Optimization, Hugging Face, Natural Language Processing, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Tensorflow, Applied Machine Learning, Model Training, Fine-tuning, Generative AI, Embeddings, Supervised Learning, Large Language Modeling, Artificial Intelligence

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    147K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
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    Columbia University

    Decision Making and Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Decision Intelligence, Markov Model, Deep Learning, Applied Machine Learning, Statistical Methods, Sampling (Statistics)

    4.4
    Rating, 4.4 out of 5 stars
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    24 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Board Infinity

    Deep Learning: Advanced Backbones and Efficient GPU Training

    Skills you'll gain: PyTorch (Machine Learning Library), Fine-tuning, Deep Learning, Vision Transformer (ViT), Transfer Learning, Convolutional Neural Networks, Model Optimization, Model Training, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Distributed Computing, Data Preprocessing, Embeddings, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
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    EDUCBA

    Deep Learning with Python: CNN, ANN & RNN

    Skills you'll gain: Model Evaluation, Convolutional Neural Networks, Model Training, Data Preprocessing, Image Analysis, Predictive Modeling, Deep Learning, Keras (Neural Network Library), Tensorflow, Data Processing, Model Optimization, Computer Vision, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Data Transformation, Financial Forecasting, Applied Machine Learning, Feature Engineering, Statistical Visualization, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
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    47 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation

    3.5
    Rating, 3.5 out of 5 stars
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    250 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular deep reinforcement learning courses

  • Foundations of Deep Reinforcement Learning with PyTorch: Packt
  • Advanced Deep Learning Architectures: Edureka
  • Advanced Deep RL Algorithms and Applications: Packt
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Deep Learning: Train Neural Networks and Deploy with Docker: Board Infinity
  • Deep Learning for Computer Vision: MathWorks
  • Deep Learning: DeepLearning.AI
  • Decision Making and Reinforcement Learning: Columbia University
  • Modern Deep Learning Foundations: Packt
  • Deep Learning: Advanced Backbones and Efficient GPU Training: Board Infinity

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