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.

New York University
Skills you'll gain: Reinforcement Learning, Financial Trading, Financial Market, Finance, Market Dynamics, Financial Modeling, Credit Risk
★ 3.8 (86) · Advanced · Course · 1 - 4 Weeks

University of Colorado Boulder
Skills you'll gain: Recurrent Neural Networks (RNNs), Vision Transformer (ViT), Model Optimization, Model Training, Large Language Modeling, Network Architecture
★ 4.7 (21) · Intermediate · Course · 1 - 3 Months

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

Skills you'll gain: Reinforcement Learning, Dimensionality Reduction, PyTorch (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Model Training, Model Evaluation, Generative Adversarial Networks (GANs), Machine Learning Methods, Deep Learning, Applied Machine Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Python Programming, Model Optimization, Machine Learning, Artificial Neural Networks, Natural Language Processing, Convolutional Neural Networks
Intermediate · Course · 3 - 6 Months

Simplilearn
Skills you'll gain: Reinforcement Learning, Artificial Intelligence, Machine Learning, Supervised Learning, Unsupervised Learning, Markov Model
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Fine-tuning, Model Optimization, Model Deployment, Model Training, PyTorch (Machine Learning Library), Performance Tuning, Debugging, MLOps (Machine Learning Operations), Deep Learning, Scalability, Artificial Neural Networks
Intermediate · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Machine Learning Methods, Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Applied Machine Learning
★ 4.8 (1.3K) · Intermediate · Course · 1 - 3 Months

Skills you'll gain: Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Model Optimization, Artificial Intelligence, Python Programming, Model Training, Fine-tuning, Model Evaluation
Intermediate · Course · 1 - 4 Weeks

Skills you'll gain: Recurrent Neural Networks (RNNs), Model Deployment, Keras (Neural Network Library), Deep Learning, Tensorflow, Artificial Neural Networks, Convolutional Neural Networks, Artificial Intelligence
Beginner · Course · 1 - 4 Weeks

University of Alberta
Skills you'll gain: Reinforcement Learning, Model Evaluation, Performance Testing, Artificial Neural Networks, Machine Learning, Model Optimization, Machine Learning Algorithms, Markov Model, Algorithms, Performance Tuning
★ 4.7 (653) · Intermediate · Course · 1 - 3 Months

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, Natural Language Processing, Performance Tuning
Advanced · Course · 1 - 3 Months

Universidades Anáhuac
Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Tensorflow, Convolutional Neural Networks, Recurrent Neural Networks (RNNs), Image Analysis, Model Training
Beginner · Course · 1 - 4 Weeks