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: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Systems Development, Simulations, Solution Architecture, Agentic systems, Feature Engineering, Model Training, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Decision Intelligence, Supervised Learning, Algorithms, Model Evaluation, Applied Machine Learning
Status: Free TrialUniversity of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms
Status: NewStatus: Free Trial
Status: Free TrialSkills you'll gain: Autoencoders, Generative AI, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Reinforcement Learning, Generative Adversarial Networks (GANs), Generative Model Architectures, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Unsupervised Learning, Machine Learning Methods, Transfer Learning, Model Optimization, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Fine-tuning, Machine Learning, Artificial Intelligence, Computer Vision
Status: Free TrialSkills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Model Training, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Model Optimization, Image Analysis, Model Evaluation, Classification Algorithms
Status: PreviewMathWorks
Skills you'll gain: Reinforcement Learning, Agentic systems, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Control Systems
What brings you to Coursera today?
Status: FreeDeepLearning.AI
Skills you'll gain: Fine-tuning, Large Language Modeling, Model Training, Model Evaluation, Reinforcement Learning, Model Optimization
Status: PreviewSimplilearn
Skills you'll gain: Reinforcement Learning, Agentic systems, Model Training
Status: NewStatus: Free TrialUniversity of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Generative AI, Fine-tuning, Vision Transformer (ViT), Machine Learning Methods, Model Optimization, Model Training, Large Language Modeling, Embeddings, Network Architecture
Status: NewStatus: Free Trial
Status: NewStatus: Free Trial
Status: NewStatus: Free TrialSkills you'll gain: Feature Engineering, Model Evaluation, Model Deployment, Fine-tuning, Data Preprocessing, Model Training, Deep Learning, Machine Learning Methods, Model Optimization, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Scalability, Hugging Face, Docker (Software), Supervised Learning, Machine Learning Algorithms, Applied Machine Learning, Application Deployment, Software Development, Machine Learning
In summary, here are 10 of our most popular deep reinforcement learning courses
- Reinforcement Learning:Â University of Alberta
- Fundamentals of Reinforcement Learning:Â University of Alberta
- Advanced Deep RL Algorithms and Applications:Â Packt
- Deep Learning and Reinforcement Learning:Â IBM
- Deep Learning with PyTorch:Â IBM
- Reinforcement Learning:Â MathWorks
- Reinforcement Learning from Human Feedback:Â DeepLearning.AI
- Q Learning in Reinforcement Training Basics:Â Simplilearn
- Introduction to Deep Learning:Â University of Colorado Boulder
- Cutting-Edge Topics in Deep Reinforcement Learning:Â Packt
